1 10 9 https://repository.horizon.ac.id/files/original/6a472e380a2a7acfd7351a01fb0547f2.pdf 2f92b0f5ef6ece69ab639fa900104e03 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 96 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v096 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 vsgoftest: An R Package for Goodness-of-Fit Testing Based on Kullback-Leibler Divergence Subject The topic of the resource R statistical computing environment, goodness-of-fit tests, Shannon entropy, Kullback-Leibler divergence, sample spacing based estimation. Description An account of the resource The R package vsgoftest performs goodness-of-fit (GOF) tests, based on Shannon entropy and Kullback-Leibler divergence, developed by Vasicek (1976) and Song (2002), of various classical families of distributions. The so-called Vasicek-Song (VS) tests are intended to be applied to continuous data – typically drawn from a density distribution, even including ties. Their excellent properties – they exhibit high power in a large variety of situations, make them relevant alternatives to classical GOF tests in any domain of application requiring statistical processing. The theoretical framework of VS tests is summarized and followed by a detailed description of the different features of the package. The power and computational time performances of VS tests are studied through their comparison with other GOF tests. Application to real datasets illustrates the easy-to-use functionalities of the vsgoftest package. Creator An entity primarily responsible for making the resource Justine Lequesne Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v096c01 Publisher An entity responsible for making the resource available Centre Henri Becquerel Date A point or period of time associated with an event in the lifecycle of the resource November 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/bf00124d8c42aca3e6a0e42591feff48.pdf 47548a811468ca268993dabd010a012c 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 96 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v096 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 Continuous Ordinal Regression for Analysis of Visual Analogue Scales: The R Package ordinalCont Subject The topic of the resource Continuous Ordinal Regression for Analysis of Visual Analogue Scales: The R Package ordinalCont Description An account of the resource This paper introduces the R package ordinalCont, which implements an ordinal regression framework for response variables which are recorded on a visual analogue scale (VAS). This scale is used when recording subjects’ perception of an intangible quantity such as pain, anxiety or quality of life, and consists of a mark made on a linear scale. We implement continuous ordinal regression models for VAS as the appropriate method of analysis for such responses, and introduce smoothing terms and random effects in the linear predictor. The model parameters are estimated using constrained optimization of the penalized likelihood and the penalty parameters are automatically selected via maximization of their marginal likelihood. The estimation algorithm is shown to perform well, in a simulation study. Two examples of application are given: the first involves the analysis of pain outcomes in a clinical trial for laser treatment for chronic neck pain; the second is an analysis of quality of life outcomes in a clinical trial for chemotherapy for the treatment of breast cancer. Creator An entity primarily responsible for making the resource Maurizio Manuguerra Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v096i08 Publisher An entity responsible for making the resource available Macquarie University Date A point or period of time associated with an event in the lifecycle of the resource November 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/efb1b6594397c0ec63c3963a0b1d674f.pdf 0d21a9d9d6a677ecbf73a66c2c10b678 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 96 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v096 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 fastnet: An R Package for Fast Simulation and Analysis of Large-Scale Social Networks Subject The topic of the resource social network analysis, network simulation, network metrics, multi-core processing, sampling. Description An account of the resource Traditional tools and software for social network analysis are seldom scalable and/or fast. This paper provides an overview of an R package called fastnet, a tool for scaling and speeding up the simulation and analysis of large-scale social networks. fastnet uses multi-core processing and sub-graph sampling algorithms to achieve the desired scale-up and speed-up. Simple examples, usages, and comparisons of scale-up and speed-up as compared to other R packages, i.e., igraph and statnet, are presented Creator An entity primarily responsible for making the resource Xu Dong Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v096i07 Publisher An entity responsible for making the resource available Tamr Inc Date A point or period of time associated with an event in the lifecycle of the resource November 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/dd678e06baf0655fae3342ec28f11237.pdf c9feb7beba61e27a85dd2790e57c75b1 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 96 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v096 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 Wilcoxon Rank-Based Tests for Clustered Data with R Package clusrank Subject The topic of the resource Wilcoxon rank-sum test, Wilcoxon signed-rank test. Description An account of the resource Wilcoxon rank-based tests are distribution-free alternatives to the popular two-sample and paired t tests. For independent data, they are available in several R packages such as stats and coin. For clustered data, in spite of the recent methodological developments, there did not exist an R package that makes them available at one place. We present a package clusrank where the latest developments are implemented and wrapped under a unified user-friendly interface. With different methods dispatched based on the inputs, this package offers great flexibility in rank-based tests for various clustered data. Exact tests based on permutations are also provided for some methods. Details of the major schools of different methods are briefly reviewed. Usages of the package clusrank are illustrated with simulated data as well as a real dataset from an ophthalmological study. The package also enables convenient comparison between selected methods under settings that have not been studied before and the results are discussed. Creator An entity primarily responsible for making the resource Yujing Jiang Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v096i06 Publisher An entity responsible for making the resource available Colorado State University Date A point or period of time associated with an event in the lifecycle of the resource November 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/e0177c4d75b0ba2e1cbaaf7f7cdec9c3.pdf 66faca0093d040d2e839cf9fed6a4d34 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 96 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v096 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 Generalized Network Autoregressive Processes and the GNAR Package Subject The topic of the resource multivariate time series, networks, missing data, network time series. Description An account of the resource This article introduces the GNAR package, which fits, predicts, and simulates from a powerful new class of generalized network autoregressive processes. Such processes consist of a multivariate time series along with a real, or inferred, network that provides information about inter-variable relationships. The GNAR model relates values of a time series for a given variable and time to earlier values of the same variable and of neighboring variables, with inclusion controlled by the network structure. The GNAR package is designed to fit this new model, while working with standard ‘ts’ objects and the igraph package for ease of use Creator An entity primarily responsible for making the resource Marina Knight Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v096i05 Publisher An entity responsible for making the resource available University of York Date A point or period of time associated with an event in the lifecycle of the resource November 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/e7b7cf57e10a08a07afe4f849108444b.pdf 4b3221b4b5479591bf0a38eb06a1fdcc 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 96 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v096 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 LocalControl: An R Package for Comparative Safety and Effectiveness Research Subject The topic of the resource : bias, R, survival, Kaplan-Meier, competing risks Description An account of the resource The LocalControl R package implements novel approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes. While designed and appropriate for use in comparative safety and effectiveness research involving medicine and the life sciences, the package can be used in other situations involving outcomes with multiple confounders. LocalControl is an open-source tool for researchers whose aim is to generate high quality evidence using observational data. The package implements a family of methods for non-parametric bias correction when comparing treatments in observational studies, including survival analysis settings, where competing risks and/or censoring may be present. The approach extends to bias-corrected personalized predictions of treatment outcome differences, and analysis of heterogeneity of treatment effect-sizes across patient subgroups. Creator An entity primarily responsible for making the resource S. Stanley Young Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v096i04 Publisher An entity responsible for making the resource available CGStat, LLC Date A point or period of time associated with an event in the lifecycle of the resource November 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/9ea2ad9c0c272ba4b7abaac306551678.pdf 91a611803e5c22ec10725a1c3763fcdd 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 96 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v096 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 Generating Optimal Designs for Discrete Choice Experiments in R: The idefix Package Subject The topic of the resource : optimal designs, discrete choice experiments, adaptive, mixed logit, shiny, R. Description An account of the resource Discrete choice experiments are widely used in a broad area of research fields to capture the preference structure of respondents. The design of such experiments will determine to a large extent the accuracy with which the preference parameters can be estimated. This paper presents a new R package, called idefix, which enables users to generate optimal designs for discrete choice experiments. Besides Bayesian D-efficient designs for the multinomial logit model, the package includes functions to generate Bayesian adaptive designs which can be used to gather data for the mixed logit model. In addition, the package provides the necessary tools to set up actual surveys and collect empirical data. After data collection, idefix can be used to transform the data into the necessary format in order to use existing estimation software in R. Creator An entity primarily responsible for making the resource Frits Traets Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v096i03 Publisher An entity responsible for making the resource available KU Leuven Date A point or period of time associated with an event in the lifecycle of the resource November 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/3ca293bc63a840a6ec3235535d42961f.pdf 8d17e0b88c4b47c8b4b6e0ceec721236 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 96 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v096 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 Performing Parallel Monte Carlo and Moment Equations Methods for Itô and Stratonovich Stochastic Differential Systems: R Package Sim.DiffProc Subject The topic of the resource stochastic differential equation, stochastic calculus, moment equations, Monte Carlo simulation, parallel computing, statistical sampling, statistical analysis, nonparametric, transition density, reproducible research, LATEX, R. Description An account of the resource We introduce Sim.DiffProc, an R package for symbolic and numerical computations on scalar and multivariate systems of stochastic differential equations (SDEs). It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the dynamics of these systems in both forms, Itô and Stratonovich. One of Sim.DiffProc key features is to implement the Monte Carlo method for the iterative evaluation and approximation of an interesting quantity at a fixed time on SDEs with parallel computing, on multiple processors on a single machine or a cluster of computers, which is an important tool to improve capacity and speed-up calculations. We also provide an easy-to-use interface for symbolic calculation and numerical approximation of the first and central second-order moments of SDEs (i.e., mean, variance and covariance), by solving a system of ordinary differential equations, which yields insights into the dynamics of stochastic systems. The final result object of Monte Carlo and moment equations can be derived and presented in terms of LATEX math expressions and visualized in terms of LATEX tables. Furthermore, we illustrate various features of the package by proposing a general bivariate nonlinear dynamic system of Haken-Zwanzig, driven by additive, linear and nonlinear multiplicative noises. In addition, we consider the particular case of a scalar SDE driven by three independent Wiener processes. The Monte Carlo simulation thereof is obtained through a transformation to a system of three equations. We also study some important applications of SDEs in different fields Creator An entity primarily responsible for making the resource Arsalane Chouaib Guidoum Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v096i02 Publisher An entity responsible for making the resource available University of Science and Technology Houari Boumediene Date A point or period of time associated with an event in the lifecycle of the resource November 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/7bba1150439fffe11fbb8598c460b817.pdf 800a511f145789781429a69a43d4e3f6 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 96 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v096 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 colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes Subject The topic of the resource color, palette, HCL, RGB, hue, color vision deficiency, R. Description An account of the resource The R package colorspace provides a flexible toolbox for selecting individual colors or color palettes, manipulating these colors, and employing them in statistical graphics and data visualizations. In particular, the package provides a broad range of color palettes based on the HCL (hue-chroma-luminance) color space. The three HCL dimensions have been shown to match those of the human visual system very well, thus facilitating intuitive selection of color palettes through trajectories in this space. Using the HCL color model, general strategies for three types of palettes are implemented: (1) Qualitative for coding categorical information, i.e., where no particular ordering of categories is available. (2) Sequential for coding ordered/numeric information, i.e., going from high to low (or vice versa). (3) Diverging for coding ordered/numeric information around a central neutral value, i.e., where colors diverge from neutral to two extremes. To aid selection and application of these palettes, the package also contains scales for use with ggplot2, shiny and tcltk apps for interactive exploration, visualizations of palette properties, accompanying manipulation utilities (like desaturation and lighten/darken), and emulation of color vision deficiencies. The shiny apps are also hosted online at http://hclwizard.org/ Creator An entity primarily responsible for making the resource Achim Zeileis Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v096i01 Publisher An entity responsible for making the resource available Universität Innsbruck J Date A point or period of time associated with an event in the lifecycle of the resource November 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