1 10 14 https://repository.horizon.ac.id/files/original/7676f2cc57710d08fb1ffbf7c710d4b2.pdf adca1e24e6b3a7a53cac2bf95aeac139 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 93 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v093 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 A Computer Algebra System for R: Macaulay2 and the m2r Package Subject The topic of the resource R, Macaulay2, algebraic statistics Description An account of the resource Algebraic methods have a long history in statistics. Apart from the ubiquitous applications of linear algebra, the most visible manifestations of modern algebra in statistics are found in the young field of algebraic statistics, which brings tools from commutative algebra and algebraic geometry to bear on statistical problems. Now over two decades old, algebraic statistics has applications in a wide range of theoretical and applied statistical domains. Nevertheless, algebraic statistical methods are still not mainstream, mostly due to a lack of easy off-the-shelf implementations. In this article we debut m2r, an R package that connects R to Macaulay2 through a persistent back-end socket connection running locally or on a cloud server. Topics range from basic use of m2r to applications and design philosoph Creator An entity primarily responsible for making the resource David Kahle Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i09 Publisher An entity responsible for making the resource available Baylor University Date A point or period of time associated with an event in the lifecycle of the resource April 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/670036e234fb557e19fedbc84e7e9ec9.pdf c837c1dd98f406407876666261020b51 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 93 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v093 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 Bayesian Random-Effects Meta-Analysis Using the bayesmeta R Package Subject The topic of the resource evidence synthesis, NNHM, between-study heterogeneity Description An account of the resource The random-effects or normal-normal hierarchical model is commonly utilized in a wide range of meta-analysis applications. A Bayesian approach to inference is very attractive in this context, especially when a meta-analysis is based only on few studies. The bayesmeta R package provides readily accessible tools to perform Bayesian meta-analyses and generate plots and summaries, without having to worry about computational details. It allows for flexible prior specification and instant access to the resulting posterior distributions, including prediction and shrinkage estimation, and facilitating for example quick sensitivity checks. The present paper introduces the underlying theory and showcases its usage Creator An entity primarily responsible for making the resource Christian Röver Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i06 Publisher An entity responsible for making the resource available University Medical Center Göttingen Date A point or period of time associated with an event in the lifecycle of the resource April 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/87de7799f87e10081ed99704a21cd5f7.pdf 70941a6a60727f4b1127eb53e554d0d2 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 93 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v093 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 GDINA: An R Package for Cognitive Diagnosis Modeling Subject The topic of the resource cognitive diagnosis, psychometrics, item response theory, G-DINA model Description An account of the resource Cognitive diagnosis models (CDMs) have attracted increasing attention in educational measurement because of their potential to provide diagnostic feedback about students’ strengths and weaknesses. This article introduces the feature-rich R package GDINA for conducting a variety of CDM analyses. Built upon a general model framework, a number of CDMs can be calibrated using the GDINA package. Functions are also available for evaluating model-data fit, detecting differential item functioning, validating the item and attribute association, and examining classification accuracy. A grapical user interface is also provided for researchers who are less familar with R. This paper contains both technical details about model estimation and illustrations about how to use the package for data analysis. The GDINA package is also used to replicate published results, showing that it could provide comparable model parameter estimation. Creator An entity primarily responsible for making the resource Wenchao Ma Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i14 Publisher An entity responsible for making the resource available The University of Alabama Date A point or period of time associated with an event in the lifecycle of the resource April 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/1211e9cdaf3a4b490f80f47f1c925f4f.pdf 6e323f602853323b7508fe1707131f9b 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 93 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v093 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 Hierarchical Archimedean Copulas for MATLAB and Octave: The HACopula Toolbox Subject The topic of the resource copula, hierarchical Archimedean copula, structure, family, estimation, collapsing, sampling, goodness-of-fit, Kendall’s tau, tail dependence, MATLAB, Octave. Description An account of the resource To extend the current implementation of copulas in MATLAB to non-elliptical distributions in arbitrary dimensions enabling for asymmetries in the tails, the toolbox HACopula provides functionality for modeling with hierarchical (or nested) Archimedean copulas. This includes their representation as MATLAB objects, evaluation, sampling, estimation and goodness-of-fit testing, as well as tools for their visual representation or computation of corresponding matrices of Kendall’s tau and tail dependence coefficients. These are first presented in a quick-and-simple manner and then elaborated in more detail to show the full capability of HACopula. As an example, sampling, estimation and goodness-of-fit of a 100-dimensional hierarchical Archimedean copula is presented, including a speed up of its computationally most demanding part. The toolbox is also compatible with Octave, where no support for copulas in more than two dimensions is currently provided. Creator An entity primarily responsible for making the resource Jan Górecki Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i10 Publisher An entity responsible for making the resource available Silesian University in Opava Date A point or period of time associated with an event in the lifecycle of the resource April 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/df447c7fba9c91e6ac4aeb0cce860ac6.pdf 467a57fc97bfc172bd8a8374a19baee1 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 93 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v093 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 idem: An R Package for Inferences in Clinical Trials with Death and Missingness Subject The topic of the resource clinical trial, truncation due to death, composite endpoint, imputation, missing data, R, SACE, sensitivity analysis, shiny, Stan Description An account of the resource In randomized controlled trials of seriously ill patients, death is common and often defined as the primary endpoint. Increasingly, non-mortality outcomes such as functional outcomes are co-primary or secondary endpoints. Functional outcomes are not defined for patients who die, referred to as “truncation due to death”, and among survivors, functional outcomes are often unobserved due to missed clinic visits or loss to follow-up. It is well known that if the functional outcomes “truncated due to death” or missing are handled inappropriately, treatment effect estimation can be biased. In this paper, we describe the package idem that implements a procedure for comparing treatments that is based on a composite endpoint of mortality and the functional outcome among survivors. Among survivors, the procedure incorporates a missing data imputation procedure with a sensitivity analysis strategy. A web-based graphical user interface is provided in the idem package to facilitate users conducting the proposed analysis in an interactive and user-friendly manner. We demonstrate idem using data from a recent trial of sedation interruption among mechanically ventilated patients Creator An entity primarily responsible for making the resource Chenguang Wang Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i12 Publisher An entity responsible for making the resource available Johns Hopkins University Date A point or period of time associated with an event in the lifecycle of the resource April 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/8c37bc3f242971de80950a5e08175190.pdf 3eb49e0a5dfda92baa1522e3b767af24 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 93 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v093 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 lmSubsets: Exact Variable-Subset Selection in Linear Regression for R Subject The topic of the resource linear regression, model selection, variable selection, best-subset regression, R Description An account of the resource An R package for computing the all-subsets regression problem is presented. The proposed algorithms are based on computational strategies recently developed. A novel algorithm for the best-subset regression problem selects subset models based on a predetermined criterion. The package user can choose from exact and from approximation algorithms. The core of the package is written in C++ and provides an efficient implementation of all the underlying numerical computations. A case study and benchmark results illustrate the usage and the computational efficiency of the package. Creator An entity primarily responsible for making the resource Marc Hofmann Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i03 Publisher An entity responsible for making the resource available University of Oviedo Cyprus University of Technology Date A point or period of time associated with an event in the lifecycle of the resource April 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/08a6af1aeed6e33a27467a2d358abe19.pdf 8210a3ba8483adbe2f0bac15f3fc3014 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 93 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v093 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 lslx: Semi-Confirmatory Structural Equation Modeling via Penalized Likelihood Subject The topic of the resource structural equation modeling, factor analysis, penalized likelihood, R Description An account of the resource Sparse estimation via penalized likelihood (PL) is now a popular approach to learn the associations among a large set of variables. This paper describes an R package called lslx that implements PL methods for semi-confirmatory structural equation modeling (SEM). In this semi-confirmatory approach, each model parameter can be specified as free/fixed for theory testing, or penalized for exploration. By incorporating either a L1 or minimax concave penalty, the sparsity pattern of the parameter matrix can be efficiently explored. Package lslx minimizes the PL criterion through a quasi-Newton method. The algorithm conducts line search and checks the first-order condition in each iteration to ensure the optimality of the obtained solution. A numerical comparison between competing packages shows that lslx can reliably find PL estimates with the least time. The current package also supports other advanced functionalities, including a two-stage method with auxiliary variables for missing data handling and a reparameterized multi-group SEM to explore population heterogeneity. Creator An entity primarily responsible for making the resource Po-Hsien Huang Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i07 Publisher An entity responsible for making the resource available National Cheng Kung University Date A point or period of time associated with an event in the lifecycle of the resource April 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/39f684ce4528bf3969e4f8db5fe70d5f.pdf 1d55326d5eb8d2681992dcff978aae61 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 93 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v093 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 ManifoldOptim: An R Interface to the ROPTLIB Library for Riemannian Manifold Optimization Subject The topic of the resource manifold, Riemannian, Grassmann, Stiefel, Euclidean, optimization. Description An account of the resource Manifold optimization appears in a wide variety of computational problems in the applied sciences. In recent statistical methodologies such as sufficient dimension reduction and regression envelopes, estimation relies on the optimization of likelihood functions over spaces of matrices such as the Stiefel or Grassmann manifolds. Recently, Huang, Absil, Gallivan, and Hand (2016) have introduced the library ROPTLIB, which provides a framework and state of the art algorithms to optimize real-valued objective functions over commonly used matrix-valued Riemannian manifolds. This article presents ManifoldOptim, an R package that wraps the C++ library ROPTLIB. ManifoldOptim enables users to access functionality in ROPTLIB through R so that optimization problems can easily be constructed, solved, and integrated into larger R codes. Computationally intensive problems can be programmed with Rcpp and RcppArmadillo, and otherwise accessed through R. We illustrate the practical use of ManifoldOptim through several motivating examples involving dimension reduction and envelope methods in regression. Creator An entity primarily responsible for making the resource Sean R. Martin Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i01 Publisher An entity responsible for making the resource available University of Maryland, Baltimore County Date A point or period of time associated with an event in the lifecycle of the resource February 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/883b6dd18b968d8d2d600e2e49645fd5.pdf bc11bb07a22898895a315720083f9cdd 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 93 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v093 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 mgm: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data Subject The topic of the resource structure estimation, mixed graphical models, Markov random fields, dynamic graphical models, time-varying graphical models, vector autoregressive models Description An account of the resource We present the R package mgm for the estimation of k-order mixed graphical models (MGMs) and mixed vector autoregressive (mVAR) models in high-dimensional data. These are a useful extensions of graphical models for only one variable type, since data sets consisting of mixed types of variables (continuous, count, categorical) are ubiquitous. In addition, we allow to relax the stationarity assumption of both models by introducing time-varying versions of MGMs and mVAR models based on a kernel weighting approach. Time-varying models offer a rich description of temporally evolving systems and allow to identify external influences on the model structure such as the impact of interventions. We provide the background of all implemented methods and provide fully reproducible examples that illustrate how to use the package. Creator An entity primarily responsible for making the resource Jonas M. B. Haslbeck Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i08 Publisher An entity responsible for making the resource available University of Amsterdam Date A point or period of time associated with an event in the lifecycle of the resource April 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/b28c82eff65045599841453b596530d7.pdf b4a269799a4a4ea014c36c04984416ee 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 93 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v093 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 mvord: An R Package for Fitting Multivariate Ordinal Regression Models Subject The topic of the resource composite likelihood estimation, correlated ordinal data, multivariate ordinal logit regression model, multivariate ordinal probit regression model, R. Description An account of the resource The R package mvord implements composite likelihood estimation in the class of multivariate ordinal regression models with a multivariate probit and a multivariate logit link. A flexible modeling framework for multiple ordinal measurements on the same subject is set up, which takes into consideration the dependence among the multiple observations by employing different error structures. Heterogeneity in the error structure across the subjects can be accounted for by the package, which allows for covariate dependent error structures. In addition, different regression coefficients and threshold parameters for each response are supported. If a reduction of the parameter space is desired, constraints on the threshold as well as on the regression coefficients can be specified by the user. The proposed multivariate framework is illustrated by means of a credit risk application. Creator An entity primarily responsible for making the resource Rainer Hirk Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i04 Publisher An entity responsible for making the resource available WU Wirtschaftsuniversität Wien Date A point or period of time associated with an event in the lifecycle of the resource April 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