1 10 10 https://repository.horizon.ac.id/files/original/0ee09d001e2155d7b78965b89f1085ab.pdf 69f780d4c378b098acbf40a4566bf727 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 107 Tahun 2023 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v107 Date A point or period of time associated with an event in the lifecycle of the resource 2023 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 hdpGLM: An R Package to Estimate Heterogeneous Effects in Generalized Linear Models Using Hierarchical Dirichlet Process Subject The topic of the resource latent effect heterogeneity, regression, semi-parametric Bayesian regression, hierarchical Dirichlet process, Dirichlet process, clustering methods, unsupervised learning, R, mixture models Description An account of the resource The existence of latent clusters with different responses to a treatment is a major concern in scientific research, as latent effect heterogeneity often emerges due to latent or unobserved features – e.g., genetic characteristics, personality traits, or hidden motivations – of the subjects. Conventional random- and fixed-effects methods cannot be applied to that heterogeneity if the group markers associated with that heterogeneity are latent or unobserved. Alternative methods that combine regression models and clustering procedures using Dirichlet process are available, but these methods are complex to implement, especially for non-linear regression models with discrete or binary outcomes. This article discusses the R package hdpGLM as a means of implementing a novel hierarchical Dirichlet process approach to estimate mixtures of generalized linear models outlined in Ferrari (2020). The methods implemented make it easy for researchers to investigate heterogeneity in the effect of treatment or background variables and identify clusters of subjects with differential effects. This package provides several features for out-of-thebox estimation and to generate numerical summaries and visualizations of the results. A comparison with other similar R packages is provided Creator An entity primarily responsible for making the resource Diogo Ferrari Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v107i10 Publisher An entity responsible for making the resource available University of California, Riverside Date A point or period of time associated with an event in the lifecycle of the resource October 2023 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/37232aed6cf443c5af8f2e9e71a1c8ff.pdf d08000a8e95e52ee6304a8660caf8f65 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 107 Tahun 2023 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v107 Date A point or period of time associated with an event in the lifecycle of the resource 2023 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 Efficient Multiple Imputation for Diverse Data in Python and R: MIDASpy and rMIDAS Subject The topic of the resource missing data, multiple imputation, machine learning, Python, R. Description An account of the resource This paper introduces software packages for efficiently imputing missing data using deep learning methods in Python (MIDASpy) and R (rMIDAS). The packages implement a recently developed approach to multiple imputation known as MIDAS, which involves introducing additional missing values into the dataset, attempting to reconstruct these values with a type of unsupervised neural network known as a denoising autoencoder, and using the resulting model to draw imputations of originally missing data. These steps are executed by a fast and flexible algorithm that expands both the quantity and the range of data that can be analyzed with multiple imputation. To help users optimize the algorithm for their particular application, MIDASpy and rMIDAS offer a host of user-friendly tools for calibrating and validating the imputation model. We provide a detailed guide to these functionalities and demonstrate their usage on a large real dataset. Creator An entity primarily responsible for making the resource Ranjit Lall Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v107i09 Publisher An entity responsible for making the resource available University of Oxford Date A point or period of time associated with an event in the lifecycle of the resource October 2023 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 England Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/087ef7837d1449d27871c9b4bdb2e2a4.pdf b156c388f61e18b7e28740c6eccdbf1c 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 107 Tahun 2023 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v107 Date A point or period of time associated with an event in the lifecycle of the resource 2023 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 GMM Estimators for Binary Spatial Models in R Subject The topic of the resource binary dependent variables, spatial model, GMM, R. Description An account of the resource Despite the huge availability of software to estimate cross-sectional spatial models, there are only few functions to estimate models dealing with spatial limited dependent variable. This paper fills this gap introducing the new R package spldv. The package is based on generalized methods of moment (GMM) estimators and includes a series of one- and two-step estimators based on different choices of the weighting matrix for the moments conditions in the first step, and different estimators for the variance-covariance matrix of the estimated coefficients. An important feature of spldv is that users can estimate the spatial Durbin model and compute the direct, indirect, and total effects in a friendly and flexible way Creator An entity primarily responsible for making the resource Gianfranco Piras Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v107i08 Publisher An entity responsible for making the resource available The Catholic University of America University of Chieti-Pescara Date A point or period of time associated with an event in the lifecycle of the resource September 2023 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/c0f05abd11d920aadc4462b8bee8b9c8.pdf b1cd86cc8e76bc64d92bdb3c86605e80 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 107 Tahun 2023 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v107 Date A point or period of time associated with an event in the lifecycle of the resource 2023 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 Panel Data Visualization in R (panelView) and Stata (panelview) Subject The topic of the resource panel data, visualization, treatment status, missing data, R, Stata. Description An account of the resource We develop an R package panelView and a Stata package panelview for panel data visualization. They are designed to assist causal analysis with panel data and have three main functionalities: (1) They plot the treatment status and missing values in a panel dataset; (2) they visualize the temporal dynamics of the main variables of interest; and (3) they depict the bivariate relationships between a treatment variable and an outcome variable either by unit or in aggregate. These tools can help researchers better understand their panel datasets before conducting statistical analysis. Creator An entity primarily responsible for making the resource Hongyu Mou Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v107i07 Publisher An entity responsible for making the resource available University of California, Los Angeles Date A point or period of time associated with an event in the lifecycle of the resource September 2023 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/f5dc020c37ec80cf64809b0c74f881a8.pdf c617e979e6ab23bac2a7b728f8a3de24 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 107 Tahun 2023 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v107 Date A point or period of time associated with an event in the lifecycle of the resource 2023 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 varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models Subject The topic of the resource generalized mixed-effects models, nonlinear mixed-effects models, variance components, likelihood ratio test, random effects, R. Description An account of the resource The issue of variance components testing arises naturally when building mixed-effects models, to decide which effects should be modeled as fixed or random or to build parsimonious models. While tests for fixed effects are available in R for models fitted with lme4, tools are missing when it comes to random effects. The varTestnlme package for R aims at filling this gap. It allows to test whether a subset of the variances and covariances corresponding to a subset of the random effects, are equal to zero using asymptotic property of the likelihood ratio test statistic. It also offers the possibility to test simultaneously for fixed effects and variance components. It can be used for linear, generalized linear or nonlinear mixed-effects models fitted via lme4, nlme or saemix. Numerical methods used to implement the test procedure are detailed and examples based on different real datasets using different mixed models are provided. Theoretical properties of the used likelihood ratio test are recalled. Creator An entity primarily responsible for making the resource Charlotte Baey Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v107i06 Publisher An entity responsible for making the resource available generalized mixed-effects models, nonlinear mixed-effects models, variance components, likelihood ratio test, random effects, R. Date A point or period of time associated with an event in the lifecycle of the resource September 2023 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/17fc435c0ca9c8132a263f4bea5d568a.pdf 1c56e283322763bb8b4cda3076cef2c8 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 107 Tahun 2023 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v107 Date A point or period of time associated with an event in the lifecycle of the resource 2023 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 ARCHModels.jl: Estimating ARCH Models in Julia Subject The topic of the resource ARCH, GARCH, CCC, DCC, Value at Risk, Julia. Description An account of the resource This paper introduces ARCHModels.jl, a package for the Julia programming language that implements a number of univariate and multivariate autoregressive conditional heteroskedasticity models. This model class is the workhorse tool for modeling the conditional volatility of financial assets. The distinguishing feature of these models is that they model the latent volatility as a (deterministic) function of past returns and volatilities. This recursive structure results in loop-heavy code which, due to its just-in-time compiler, Julia is well-equipped to handle. As such, the entire package is written in Julia, without any binary dependencies. We benchmark the performance of ARCHModels.jl against popular implementations in MATLAB, R, and Python, and illustrate its use in a detailed case study Creator An entity primarily responsible for making the resource Simon A. Broda Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v107i05 Publisher An entity responsible for making the resource available Lucerne University of Applied Sciences and Arts Date A point or period of time associated with an event in the lifecycle of the resource September 2023 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/93060d93ba4f9d95a3069afd49c3568b.pdf af772f3685d5ad3238d2d8aabc4374c3 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 107 Tahun 2023 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v107 Date A point or period of time associated with an event in the lifecycle of the resource 2023 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 DataFrames.jl: Flexible and Fast Tabular Data in Julia Subject The topic of the resource data frame, tabular data, performance, multi-threading, Julia. Description An account of the resource DataFrames.jl is a package written for and in the Julia language offering flexible and efficient handling of tabular data sets in memory. Thanks to Julia’s unique strengths, it provides an appealing set of features: Rich support for standard data processing tasks and excellent flexibility and efficiency for more advanced and non-standard operations. We present the fundamental design of the package and how it compares with implementations of data frames in other languages, its main features, performance, and possible extensions. We conclude with a practical illustration of typical data processing operations. Creator An entity primarily responsible for making the resource Milan Bouchet-Valat Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v107i04 Publisher An entity responsible for making the resource available French Institute for Demographic Studies Date A point or period of time associated with an event in the lifecycle of the resource September 2023 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/f805c5524d998c67f42de203c570900f.pdf 717c8d0b92f3a45f747e4b0e0d992083 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 107 Tahun 2023 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v107 Date A point or period of time associated with an event in the lifecycle of the resource 2023 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 REndo: Internal Instrumental Variables to Address Endogeneity Subject The topic of the resource endogeneity, internal instrumental variables, multilevel models. Description An account of the resource Endogeneity is a common problem in any causal analysis. It arises when the independence assumption between an explanatory variable and the error in a statistical model is violated. The causes of endogeneity are manifold and include response bias in surveys, omission of important explanatory variables, or simultaneity between explanatory and response variables. Instrumental variable estimation provides a possible solution. However, valid and strong external instruments are difficult to find. Consequently, internal instrumental variable approaches have been proposed to correct for endogeneity without relying on external instruments. The R package REndo implements various internal instrumental variable approaches, i.e., latent instrumental variables estimation (Ebbes, Wedel, Boeckenholt, and Steerneman 2005), higher moments estimation (Lewbel 1997), heteroscedastic error estimation (Lewbel 2012), joint estimation using copula (Park and Gupta 2012) and multilevel generalized method of moments estimation (Kim and Frees 2007). Package usage is illustrated on simulated and real-world data. Creator An entity primarily responsible for making the resource Raluca Gui Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v107i03 Publisher An entity responsible for making the resource available University of Zurich Date A point or period of time associated with an event in the lifecycle of the resource September 2023 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/5233594609bc3fd3701822ba1de2e804.pdf df0576ad761ad281975ec8ee6b95c18c 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 107 Tahun 2023 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v107 Date A point or period of time associated with an event in the lifecycle of the resource 2023 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 carat: An R Package for Covariate-Adaptive Randomization in Clinical Trials Subject The topic of the resource carat, clinical trial, covariate-adaptive randomization, hypothesis test, commandline interface, power analysis, R, Rcpp, OpenMP. Description An account of the resource Covariate-adaptive randomization is gaining popularity in clinical trials because they enable the generation of balanced allocations with respect to covariates. Over the past decade, substantial progress has been made in both new innovative randomization procedures and the theoretical properties of associated inferences. However, these results are scattered across the literature, and a single tool kit does not exist for use by clinical trial practitioners and researchers to conduct and evaluate these methods. The R package carat is proposed to address this need. It facilitates a broad range of covariate-adaptive randomization and testing procedures, such as the most common and classical methods, and also reflects recent developments in the field. The package contains comprehensive evaluation and comparison tools for use in both randomization procedures and tests. This enables power analysis to be conducted to assist the planning of a covariate-adaptive clinical trial. The package also implements a command-line interface to allow for an interactive allocation procedure, which is typically the case in real-world applications. In this paper, the features and functionalities of carat are presented Creator An entity primarily responsible for making the resource Wei Ma Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v107i02 Publisher An entity responsible for making the resource available Renmin University of China Date A point or period of time associated with an event in the lifecycle of the resource September 2023 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/3cf1bf1c76844b9ef7123f5d6cf1ed18.pdf e71116e449eec5250707b0c52e9da323 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 107 Tahun 2023 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v107 Date A point or period of time associated with an event in the lifecycle of the resource 2023 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 Modeling Population Growth in R with the biogrowth Package Subject The topic of the resource : kinetic modelling, model fitting, predictions, dynamic modeling, R, predictive microbiology, uncertainty Description An account of the resource The growth of populations is of interest in a broad variety of fields, such as epidemiology, economics or biology. Although a large variety of growth models are available in the scientific literature, their application usually requires advanced knowledge of mathematical programming and statistical inference, especially when modelling growth under dynamic environmental conditions. This article presents the biogrowth package for R, which implements functions for modelling the growth of populations. It can predict growth under static or dynamic environments, considering the effect of an arbitrary number of environmental factors. Moreover, it can be used to fit growth models to data gathered under static or dynamic environmental conditions. The package allows the user to fix any model parameter prior to the fit, an approach that can mitigate identifiability issues associated to growth models. The package includes common S3 methods for visualization and statistical analysis (summary of the fit, predictions, . . . ), easing result interpretation. It also includes functions for model comparison/selection. We illustrate the functions in biogrowth using examples from food science and economy. Creator An entity primarily responsible for making the resource Alberto Garre Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v107i01 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 September 2023 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