1 10 14 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/f29827eac5df4a4e36a27068df78029c.pdf d8b4bfaec624ebfa722b0744eec4f216 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 webchem: An R Package to Retrieve Chemical Information from the Web Subject The topic of the resource ecotoxicology, chemistry, data cleaning, web scraping, rOpenSci. Description An account of the resource A wide range of chemical information is freely available online, including identifiers, experimental and predicted chemical properties. However, these data are scattered over various data sources and not easily accessible to researchers. Manual searching and downloading of such data is time-consuming and error-prone. We developed the open-source R package webchem that allows users to automatically query chemical data from currently 14 web sources. These cover a broad spectrum of information. The data are automatically imported into an R object and can directly be used in subsequent analyses. webchem enables easy, structured and reproducible data retrieval and usage from publicly available web sources. In addition, it facilitates data cleaning, identification and reporting of substances. Consequently, it reduces the time researchers need to spend on chemical data compilation Creator An entity primarily responsible for making the resource Andreas Scharmüller Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i13 Publisher An entity responsible for making the resource available Universität Koblenz-Landau 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/9d073ee379b4b6089235c5b6827337e9.pdf 63bf2a3a824fe8f0865c259944a6dd12 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 Network Coincidence Analysis: The netCoin R Package Subject The topic of the resource co-occurrence analysis, social network analysis, multivariate analysis, interactive graphs. Description An account of the resource The aim of the R package netCoin is to explore data structures using a number of statistical techniques that share the handling of interdependent variables. The main objective of this analysis is to detect events, characters, objects, attributes or characteristics that tend to appear together within a given set of scenarios. Its most notable feature is the combination of traditional multivariate statistical analysis and network analysis supported by topological graph theory. In addition, netCoin produces HTML graphs using the D3.js visualization library to support the interactive exploration of networked data. Among its many applications, netCoin can be used for the analysis of multiple responses in questionnaires to explore relevant associations, for the development of textual networks, for the study of ecological communities, for audience analysis, for mining large databases or for basket market analysis Creator An entity primarily responsible for making the resource Modesto Escobar Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i11 Publisher An entity responsible for making the resource available Universidad de Salamanca 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/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/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/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/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/ddc651412436b102a3fdbd8440044756.pdf 59ac8361f18a04d5a24dec6471006ec1 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 Object-Oriented Software for Functional Data Subject The topic of the resource functional data analysis, functional principal component analysis, multivariate functional data, object orientation, simulation Description An account of the resource This paper introduces the funData R package as an object-oriented implementation of functional data. It implements a unified framework for dense univariate and multivariate functional data on one- and higher dimensional domains as well as for irregular functional data. The aim of this package is to provide a user-friendly, self-contained core toolbox for functional data, including important functionalities for creating, accessing and modifying functional data objects, that can serve as a basis for other packages. The package further contains a full simulation toolbox, which is a useful feature when implementing and testing new methodological developments. Based on the theory of object-oriented data analysis, it is shown why it is natural to implement functional data in an object-oriented manner. The classes and methods provided by funData are illustrated in many examples using two freely available datasets. The MFPCA package, which implements multivariate functional principal component analysis, is presented as an example for an advanced methodological package that uses the funData package as a basis, including a case study with real data. Both packages are publicly available on GitHub and the Comprehensive R Archive Network. Creator An entity primarily responsible for making the resource Clara Happ-Kurz Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v093i05 Publisher An entity responsible for making the resource available LMU Munich 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