1 10 16 https://repository.horizon.ac.id/files/original/8415547236830def64baad1e953bf983.pdf c31bebcd103f13a735d129001fffb8c5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource ANOVA_robust: A SAS Macro for Parametric Tests of Mean Differences in One-Factor ANOVA Models Subject The topic of the resource analysis of variance, homogeneity of variance assumption, simulation study, homoscedasticity, heteroscedasticity, SAS macro. Description An account of the resource Testing the equality of several independent group means is a common statistical practice in the social sciences. The traditional analysis of variance (ANOVA) is one of the most popular methods. However, the ANOVA F test is sensitive to violations of the homogeneity of variance assumption. Many alternative tests have been developed in response to this problem of the F test. These tests include some modifications of the ANOVA F test and others based on the structured means modeling technique. This paper provides a SAS macro for testing the equality of group means using thirteen methods including the regular ANOVA F test. In addition, this paper summarizes the results of a simulation study that compares the performance of these tests in terms of their Type I error rate under different conditions, especially under violations of the homogeneity of variance assumption Creator An entity primarily responsible for making the resource Eun Sook Kim Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095c02 Publisher An entity responsible for making the resource available University of South Florida Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/8047dc79409fc59d9e6e9d68278b0696.pdf 02f735b3465eb7d20901ad7614db0926 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Pseudo-Ranks: How to Calculate Them Efficiently in R Subject The topic of the resource : nonparametric statistics, ranks, pseudo-ranks, R Description An account of the resource Many popular nonparametric inferential methods are based on ranks. Among the most commonly used and most famous tests are for example the Wilcoxon-Mann-Whitney test for two independent samples, and the Kruskal-Wallis test for multiple independent groups. However, recently, it has become clear that the use of ranks may lead to paradoxical results in case of more than two groups. Luckily, these problems can be avoided simply by using pseudo-ranks instead of ranks. These pseudo-ranks, however, suffer from being (a) at first less intuitive and not as straightforward in their interpretation, (b) computationally much more expensive to calculate. The computational cost has been prohibitive, for example, for large-scale simulative evaluations or application of resampling-based pseudorank procedures. In this paper, we provide different algorithms to calculate pseudo-ranks efficiently in order to solve problem (b) and thus render it possible to overcome the current limitations of procedures based on pseudo-ranks. Creator An entity primarily responsible for making the resource Martin Happ Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095c01 Publisher An entity responsible for making the resource available University of Salzburg Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/64b12350a6382eda708a4432b938f17c.pdf 0788524f7e6434bda73c2b23d5c3ce5f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource survHE: Survival Analysis for Health Economic Evaluation and Cost-Effectiveness Modeling Subject The topic of the resource survival analysis, health economic evaluation, probabilistic sensitivity analysis, R Description An account of the resource Survival analysis features heavily as an important part of health economic evaluation, an increasingly important component of medical research. In this setting, it is important to estimate the mean time to the survival endpoint using limited information (typically from randomized trials) and thus it is useful to consider parametric survival models. In this paper, we review the features of the R package survHE, specifically designed to wrap several tools to perform survival analysis for economic evaluation. In particular, survHE embeds both a standard, frequentist analysis (through the R package flexsurv) and a Bayesian approach, based on Hamiltonian Monte Carlo (via the R package rstan) or integrated nested Laplace approximation (with the R package INLA). Using this composite approach, we obtain maximum flexibility and are able to pre-compile a wide range of parametric models, with a view of simplifying the modelers’ work and allowing them to move away from non-optimal work flows, including spreadsheets (e.g., Microsoft Excel). Creator An entity primarily responsible for making the resource Gianluca Baio Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i14 Publisher An entity responsible for making the resource available University College London Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/f12a9802c78e26ccd81d85bcb6f77768.pdf 21b33f3fdf54297f6f9da1b6e87e355e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource acebayes: An R Package for Bayesian Optimal Design of Experiments via Approximate Coordinate Exchange Subject The topic of the resource A-optimality, computer experiments, D-optimality, decision-theoretic design, Gaussian process regression, generalized linear models, high-dimensional design, model selection, nonlinear models, prediction, pseudo-Bayesian design Description An account of the resource We describe the R package acebayes and demonstrate its use to find Bayesian optimal experimental designs. A decision-theoretic approach is adopted, with the optimal design maximizing an expected utility. Finding Bayesian optimal designs for realistic problems is challenging, as the expected utility is typically intractable and the design space may be high-dimensional. The package implements the approximate coordinate exchange algorithm to optimize (an approximation to) the expected utility via a sequence of conditional one-dimensional optimization steps. At each step, a Gaussian process regression model is used to approximate, and subsequently optimize, the expected utility as the function of a single design coordinate (the value taken by one controllable variable for one run of the experiment). In addition to functions for bespoke design problems with user-defined utility functions, acebayes provides functions tailored to finding designs for common generalized linear and nonlinear models. The package provides a step-change in the complexity of problems that can be addressed, enabling designs to be found for much larger numbers of variables and runs than previously possible. We provide tutorials on the application of the methodology for four illustrative examples of varying complexity where designs are found for the goals of parameter estimation, model selection and prediction. These examples demonstrate previously unseen functionality of acebayes Creator An entity primarily responsible for making the resource Antony M. Overstall Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i13 Publisher An entity responsible for making the resource available University of Southampton Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/362bad12aa40923fe95cb25e438183a7.pdf 3e9f83102196a0139b1cdfd3bfb96fa1 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Still Image A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Gene-Based Methods to Detect Gene-Gene Interaction in R: The GeneGeneInteR Package Subject The topic of the resource association studies, gene-gene interaction, dependence, single nucleotide polymophism Description An account of the resource GeneGeneInteR is an R package dedicated to the detection of an association between a case-control phenotype and the interaction between two sets of biallelic markers (single nucleotide polymorphisms or SNPs) in case-control genome-wide associations studies. The development of statistical procedures for searching gene-gene interaction at the SNP-set level has indeed recently grown in popularity as these methods confer advantage in both statistical power and biological interpretation. However, all these methods have been implemented in home made softwares that are for most of them available only on request to the authors and at best have a web interface. Since the implementation of these methods is not straightforward, there is a need for a user-friendly tool to perform gene-based genegene interaction. The purpose of GeneGeneInteR is to propose a collection of tools for all the steps involved in gene-based gene-gene interaction testing in case-control association studies. Illustrated by an example of a dataset related to rheumatoid arthritis, this paper details the implementation of the functions available in GeneGeneInteR to perform an analysis of a collection of SNP sets. Such an analysis aims at addressing the complete statistical pipeline going from data importation to the visualization of the results through data manipulation and statistical analysis Creator An entity primarily responsible for making the resource Mathieu Emily Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i12 Publisher An entity responsible for making the resource available Agrocampus Ouest IRMAR UMR 6625 Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/9cea43d79eda6f901a953fd68d051425.pdf 7eb4f3119b0ce13ed9f482859aa1331d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Estimation of Random Utility Models in R: The mlogit Package Subject The topic of the resource discrete choice models, maximum likelihood estimation, R, econometrics. Description An account of the resource mlogit is a package for R which enables the estimation of random utility models with choice situation and/or alternative specific variables. The main extensions of the basic multinomial model (heteroscedastic, nested and random parameter models) are implemented. Creator An entity primarily responsible for making the resource Yves Croissant Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i11 Publisher An entity responsible for making the resource available CEMOI – Université de la Réunion Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/d7856db2c1a51d7411f7281385f43d58.pdf 016dc2def49e7b84e816b7a549fb3863 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Computing the Kolmogorov-Smirnov Distribution When the Underlying CDF is Purely Discrete, Mixed, or Continuous Subject The topic of the resource Kolmogorov-Smirnov test statistic, discontinuous (discrete or mixed) distribution, fast Fourier transform, double boundary non-crossing, rectangle probability for uniform order statistics Description An account of the resource The distribution of the Kolmogorov-Smirnov (KS) test statistic has been widely studied under the assumption that the underlying theoretical cumulative distribution function (CDF), F(x), is continuous. However, there are many real-life applications in which fitting discrete or mixed distributions is required. Nevertheless, due to inherent difficulties, the distribution of the KS statistic when F(x) has jump discontinuities has been studied to a much lesser extent and no exact and efficient computational methods have been proposed in the literature. In this paper, we provide a fast and accurate method to compute the (complementary) CDF of the KS statistic when F(x) is discontinuous, and thus obtain exact p values of the KS test. Our approach is to express the complementary CDF through the rectangle probability for uniform order statistics, and to compute it using fast Fourier transform (FFT). Secondly, we provide a C++ and an R implementation of the proposed method, which fills the existing gap in statistical software. We give also a useful extension of the Schmid’s asymptotic formula for the distribution of the KS statistic, relaxing his requirement for F(x) to be increasing between jumps and thus allowing for any general mixed or purely discrete F(x). The numerical performance of the proposed FFT-based method, implemented both in C++ and in the R package KSgeneral, available from https://CRAN.R-project.org/package=KSgeneral, is illustrated when F(x) is mixed, purely discrete, and continuous. The performance of the general asymptotic formula is also studied Creator An entity primarily responsible for making the resource Dimitrina S. Dimitrova Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i10 Publisher An entity responsible for making the resource available City, University of London Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/68235015446dd0cb5f53b7f29014b08b.pdf 431fb112912173cb8ea3ef0e2e174d2d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The R Package hmi: A Convenient Tool for Hierarchical Multiple Imputation and Beyond Subject The topic of the resource hierarchical data, multiple imputation, multilevel models, measurement error, heaping, R Description An account of the resource Applications of multiple imputation have long outgrown the traditional context of dealing with item nonresponse in cross-sectional data sets. Nowadays multiple imputation is also applied to impute missing values in hierarchical data sets, address confidentiality concerns, combine data from different sources, or correct measurement errors in surveys. However, software developments did not keep up with these recent extensions. Most imputation software can only deal with item nonresponse in cross-sectional settings and extensions for hierarchical data – if available at all – are typically limited in scope. Furthermore, to our knowledge no software is currently available for dealing with measurement error using multiple imputation approaches. The R package hmi tries to close some of these gaps. It offers multiple imputation routines in hierarchical settings for many variable types (for example, nominal, ordinal, or continuous variables). It also provides imputation routines for interval data and handles a common measurement error problem in survey data: biased inferences due to implicit rounding of the reported values. The user-friendly setup which only requires the data and optionally the specification of the analysis model of interest makes the package especially attractive for users less familiar with the peculiarities of multiple imputation. The compatibility with the popular mice package (Van Buuren and Groothuis-Oudshoorn 2011) ensures that the rich set of analysis and diagnostic tools and post-imputation functions available in mice can be used easily, once the data have been imputed Creator An entity primarily responsible for making the resource Matthias Speidel Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i09 Publisher An entity responsible for making the resource available Institute for Employment Research Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/73e903443f727c9f5362180f5b53c981.pdf b2914d3db6fcf61f3363cc3a4a6a7477 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Phonetic Spelling Algorithm Implementations for R Subject The topic of the resource text processing, phonetics, linguistics, record linkage, demography, R. Description An account of the resource The phonics package provides several functions for indexing words by their English language pronunciation. Over nearly one hundred years, many different algorithms have been developed to support word and name indexing. From Soundex, developed in the early 20th century and predating the digital computer, through to modern digital phonetic algorithms like Phonex, the phonics package provides support for more than a dozen methods. Together, these provide phonetic algorithms appropriate for use in name indexing and name matching across a variety of English language use cases Creator An entity primarily responsible for making the resource James P. Howard, II Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i08 Publisher An entity responsible for making the resource available Johns Hopkins Applied Physics Laboratory Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/48309968289ad25a131d47616d1288a1.pdf f034654b185deaa45817e8a406e36d62 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOLUME 95 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v095 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text Still Image A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource MultiBUGS: A Parallel Implementation of the BUGS Modeling Framework for Faster Bayesian Inference Subject The topic of the resource BUGS, parallel computing, Markov chain Monte Carlo, Gibbs sampling, Bayesian analysis, hierarchical models, directed acyclic graph. Description An account of the resource MultiBUGS is a new version of the general-purpose Bayesian modeling software BUGS that implements a generic algorithm for parallelizing Markov chain Monte Carlo (MCMC) algorithms to speed up posterior inference of Bayesian models. The algorithm parallelizes evaluation of the product-form likelihoods formed when a parameter has many children in the directed acyclic graph (DAG) representation; and parallelizes sampling of conditionally-independent sets of parameters. A heuristic algorithm is used to decide which approach to use for each parameter and to apportion computation across computational cores. This enables MultiBUGS to automatically parallelize the broad range of statistical models that can be fitted using BUGS-language software, making the dramatic speed-ups of modern multi-core computing accessible to applied statisticians, without requiring any experience of parallel programming. We demonstrate the use of MultiBUGS on simulated data designed to mimic a hierarchical e-health linked-data study of methadone prescriptions including 425,112 observations and 20,426 random effects. Posterior inference for the e-health model takes several hours in existing software, but MultiBUGS can perform inference in only 28 minutes using 48 computational cores. Creator An entity primarily responsible for making the resource Robert J. B. Goudie Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v095i07 Publisher An entity responsible for making the resource available University of Cambridge Date A point or period of time associated with an event in the lifecycle of the resource October 2020 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Inggris Type The nature or genre of the resource Text