1 10 10 https://repository.horizon.ac.id/files/original/d11d4456abdba511e55a88342ff53610.pdf ae8a04d19df374edab399f9f75e7e6eb 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 102 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v102 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 More on Multidimensional Scaling and Unfolding in R: smacof Version 2 Subject The topic of the resource multidimensional scaling, constrained multidimensional scaling, multidimensional unfolding, SMACOF, R Description An account of the resource The smacof package offers a comprehensive implementation of multidimensional scaling (MDS) techniques in R. Since its first publication (De Leeuw and Mair 2009b) the functionality of the package has been enhanced, and several additional methods, features and utilities were added. Major updates include a complete re-implementation of multidimensional unfolding allowing for monotone dissimilarity transformations, including row-conditional, circular, and external unfolding. Additionally, the constrained MDS implementation was extended in terms of optimal scaling of the external variables. Further package additions include various tools and functions for goodness-of-fit assessment, unidimensional scaling, gravity MDS, asymmetric MDS, Procrustes, and MDS biplots. All these new package functionalities are illustrated using a variety of real-life applications. Creator An entity primarily responsible for making the resource Patrick Mair Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v102i10 Publisher An entity responsible for making the resource available Harvard University Date A point or period of time associated with an event in the lifecycle of the resource April 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/2f4d1e6a5afe069e8c3ed1d9bf73ef5d.pdf 4fa345b0a2a6ac537e045ee2b12eccf7 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 102 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v102 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R Subject The topic of the resource survival analysis, competing risks, pseudo-observations, regression, R. Description An account of the resource Due to tradition and ease of estimation, the vast majority of clinical and epidemiological papers with time-to-event data report hazard ratios from Cox proportional hazards regression models. Although hazard ratios are well known, they can be difficult to interpret, particularly as causal contrasts, in many settings. Nonparametric or fully parametric estimators allow for the direct estimation of more easily causally interpretable estimands such as the cumulative incidence and restricted mean survival. However, modeling these quantities as functions of covariates is limited to a few categorical covariates with nonparametric estimators, and often requires simulation or numeric integration with parametric estimators. Combining pseudo-observations based on non-parametric estimands with parametric regression on the pseudo-observations allows for the best of these two approaches and has many nice properties. In this paper, we develop a user friendly, easy to understand way of doing event history regression for the cumulative incidence and the restricted mean survival, using the pseudo-observation framework for estimation. The interface uses the well known formulation of a generalized linear model and allows for features including plotting of residuals, the use of sampling weights, and correct variance estimation Creator An entity primarily responsible for making the resource Michael C. Sachs Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v102i09 Publisher An entity responsible for making the resource available Karolinska Institutet Date A point or period of time associated with an event in the lifecycle of the resource April 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/bf03803efb15460f797c5f13997fb614.pdf 99e3345d44026e6c137ee2da4f38400a 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 102 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v102 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 econet: An R Package for Parameter-Dependent Network Centrality Measures Subject The topic of the resource network econometrics, heterogeneous peer effects, endogenous network formation, least-square estimators, maximum likelihood estimators, R Description An account of the resource The R package econet provides methods for estimating parameter-dependent network centrality measures with linear-in-means models. Both nonlinear least squares and maximum likelihood estimators are implemented. The methods allow for both link and node heterogeneity in network effects, endogenous network formation and the presence of unconnected nodes. The routines also compare the explanatory power of parameter-dependent network centrality measures with those of standard measures of network centrality. Benefits and features of the econet package are illustrated using data from Battaglini and Patacchini (2018) and Battaglini, Leone Sciabolazza, and Patacchini (2020 Creator An entity primarily responsible for making the resource Marco Battaglini Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v102i08 Publisher An entity responsible for making the resource available Cornell University, EIEF, NBER Date A point or period of time associated with an event in the lifecycle of the resource April 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/89d010d2393d906c9b2263a457e01354.pdf 468f31c13dc3f095148581f1c8c68357 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 102 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v102 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 NeuralSens: Sensitivity Analysis of Neural Networks Subject The topic of the resource neural networks, sensitivity, analysis, variable importance, R, NeuralSens Description An account of the resource This article presents the NeuralSens package that can be used to perform sensitivity analysis of neural networks using the partial derivatives method. The main function of the package calculates the partial derivatives of the output with regard to the input variables of a multi-layer perceptron model, which can be used to evaluate variable importance based on sensitivity measures and characterize relationships between input and output variables. Methods to calculate partial derivatives are provided for objects trained using common neural network packages in R, and a ‘numeric’ method is provided for objects from packages which are not included. The package also includes functions to plot the information obtained from the sensitivity analysis. The article contains an overview of techniques for obtaining information from neural network models, a theoretical foundation of how partial derivatives are calculated, a description of the package functions, and applied examples to compare NeuralSens functions with analogous functions from other available R packages Creator An entity primarily responsible for making the resource Jaime Pizarroso Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v102i07 Publisher An entity responsible for making the resource available Universidad Pontificia Comillas Date A point or period of time associated with an event in the lifecycle of the resource April 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/816b5cce2e8e124840254689df24e32b.pdf 9b2ad5fa2a6104bb8745757b4ac88e31 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 102 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v102 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 stagedtrees for Structural Learning of Stratified Staged Trees Subject The topic of the resource : chain event graphs, graphical models, R, staged trees, structure learning algorithms. Description An account of the resource stagedtrees is an R package which includes several algorithms for learning the structure of staged trees and chain event graphs from data. Score-based and clustering-based algorithms are implemented, as well as various functionalities to plot the models and perform inference. The capabilities of stagedtrees are illustrated using mainly two datasets both included in the package or bundled in R. Creator An entity primarily responsible for making the resource Federico Carli Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v102i06 Publisher An entity responsible for making the resource available Università degli Studi di Genova Date A point or period of time associated with an event in the lifecycle of the resource April 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/ed3e16c7fbee49b6db3bf6ff9963d544.pdf 81e5da64ae891f3e1f613f945e815ce3 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 102 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v102 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 sensobol: An R Package to Compute Variance-Based Sensitivity Indices Subject The topic of the resource : R, uncertainty, sensitivity analysis, modeling Description An account of the resource The R package sensobol provides several functions to conduct variance-based uncertainty and sensitivity analysis, from the estimation of sensitivity indices to the visual representation of the results. It implements several state-of-the-art first and total-order estimators and allows the computation of up to fourth-order effects, as well as of the approximation error, in a swift and user-friendly way. Its flexibility makes it also appropriate for models with either a scalar or a multivariate output. We illustrate its functionality by conducting a variance-based sensitivity analysis of three classic models: the Sobol’ (1998) G function, the logistic population growth model of Verhulst (1845), and the spruce budworm and forest model of Ludwig, Jones, and Holling (1976). Creator An entity primarily responsible for making the resource Arnald Puy Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v102i05 Publisher An entity responsible for making the resource available Princeton University Date A point or period of time associated with an event in the lifecycle of the resource April 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/0aa7f4cbe4b3ea62b499b4913787aa60.pdf 745cf620f8f9fac438581a50ee2e2366 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 102 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v102 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 rags2ridges: A One-Stop-ℓ2-Shop for Graphical Modeling of High-Dimensional Precision Matrices Subject The topic of the resource : graphical modeling, high-dimensional data, networks, regularization, R Description An account of the resource A graphical model is an undirected network representing the conditional independence properties between random variables. Graphical modeling has become part and parcel of systems or network approaches to multivariate data, in particular when the variable dimension exceeds the observation dimension. rags2ridges is an R package for graphical modeling of high-dimensional precision matrices through ridge (ℓ2) penalties. It provides a modular framework for the extraction, visualization, and analysis of Gaussian graphical models from high-dimensional data. Moreover, it can handle the incorporation of prior information as well as multiple heterogeneous data classes. As such, it provides a one-stopℓ2-shop for graphical modeling of high-dimensional precision matrices. The functionality of the package is illustrated with an example dataset pertaining to blood-based metabolite measurements in persons suffering from Alzheimer’s disease. Creator An entity primarily responsible for making the resource Carel F. W. Peeters Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v102i04 Publisher An entity responsible for making the resource available Wageningen University & Research Date A point or period of time associated with an event in the lifecycle of the resource April 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/a75e52eb7c55e1506b757453d04fa3ff.pdf 100e4c17fc0ed439d703ebdfd3e0a16d 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 102 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v102 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 covsim: An R Package for Simulating Non-Normal Data for Structural Equation Models Using Copulas Subject The topic of the resource non-normal simulation, covariance model, vine copulas, ordinal covariance models, R Description An account of the resource In factor analysis and structural equation modeling non-normal data simulation is traditionally performed by specifying univariate skewness and kurtosis together with the target covariance matrix. However, this leaves little control over the univariate distributions and the multivariate copula of the simulated vector. In this paper we explain how a more flexible simulation method called vine-to-anything (VITA) may be obtained from copula-based techniques, as implemented in a new R package, covsim. VITA is based on the concept of a regular vine, where bivariate copulas are coupled together into a full multivariate copula. We illustrate how to simulate continuous and ordinal data for covariance modeling, and how to use the new package discnorm to test for underlying normality in ordinal data. An introduction to copula and vine simulation is provided in the appendix. Creator An entity primarily responsible for making the resource Steffen Grønneberg Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v102i03 Publisher An entity responsible for making the resource available BI Norwegian Business School Date A point or period of time associated with an event in the lifecycle of the resource April 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/759a16d845ae3a1fd05c4e23e88796e9.pdf ff1ad32ed95d40abd72b84a54c2ea8c1 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 102 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v102 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 Multivariate Normal Variance Mixtures in R: The R Package nvmix Subject The topic of the resource multivariate normal variance mixtures, Student t, Gauss, distribution function, density, random number generation Description An account of the resource We present the features and implementation of the R package nvmix for the class of normal variance mixtures including Student t and normal distributions. The package provides functionalities for such distributions, notably the evaluation of the distribution and density function as well as likelihood-based parameter estimation. The distributional family is specified through the quantile function of the underlying mixing random variable. The R package nvmix thus allows one to model multivariate distributions well beyond the classical multivariate normal and t case. Additional functionalities include graphical goodness-of-fit assessment, the estimation of the risk measures value-at-risk and expected shortfall for univariate normal variance mixture distributions and functions to work with normal variance mixture copulas, such as sampling and the evaluation of normal variance mixture copulas and their densities. Furthermore, the package nvmix also provides functionalities for the evaluation of the distribution and density function as well as random variate generation for the more general class of grouped normal variance mixtures. Creator An entity primarily responsible for making the resource Erik Hintz Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v102i02 Publisher An entity responsible for making the resource available University of Waterloo Date A point or period of time associated with an event in the lifecycle of the resource April 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/bbcbadf32b8de2ead62dc639e4903e90.pdf ba7486d65efb5904c9dd99bdff081252 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 102 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v102 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 GaussianProcesses.jl: A Nonparametric Bayes Package for the Julia Language Subject The topic of the resource : Gaussian processes, nonparametric Bayesian methods, regression, classification, Julia. Description An account of the resource Gaussian processes are a class of flexible nonparametric Bayesian tools that are widely used across the sciences, and in industry, to model complex data sources. Key to applying Gaussian process models is the availability of well-developed open source software, which is available in many programming languages. In this paper, we present a tutorial of the GaussianProcesses.jl package that has been developed for the Julia programming language. GaussianProcesses.jl utilizes the inherent computational benefits of the Julia language, including multiple dispatch and just-in-time compilation, to produce a fast, flexible and user-friendly Gaussian processes package. The package provides many mean and kernel functions with supporting inference tools to fit exact Gaussian process models, as well as a range of alternative likelihood functions to handle non-Gaussian data (e.g., binary classification models) and sparse approximations for scalable Gaussian processes. The package makes efficient use of existing Julia packages to provide users with a range of optimization and plotting tool Creator An entity primarily responsible for making the resource Jamie Fairbrother Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v102i01 Publisher An entity responsible for making the resource available https://www.jstatsoft.org/article/view/v102i01 Date A point or period of time associated with an event in the lifecycle of the resource April 2022 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 English Type The nature or genre of the resource Text