1 10 17 https://repository.horizon.ac.id/files/original/350f25a7d8937796d013433d6aa9badc.pdf 4fdb2ddd18be73813615490e3bf1811b 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 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris 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 AssocTests: An R Package for Genetic Association Studies Subject The topic of the resource distance regression, genetic association studies, population stratification, TracyWidom test, R Description An account of the resource The R package AssocTests provides some procedures which are commonly used in genetic association studies. These procedures are population stratification correction through eigenvectors, principal coordinates of clusterings, Tracy-Widom test, distance regression, single-marker test, maximum test based on three Cochran-Armitage trend tests, non-parametric trend test, and non-parametric maximum test. The trait values for these methods should be discrete or continuous. The discrete traits can be coded by 1/0 for cases/controls. The genotype values can be 0, 1, or 2 indicating the number of risk alleles for a biallelic single-nucleotide polymorphism. This article introduces the methods and algorithms implemented in the package. Some examples are provided to illustrate the package’s capability Creator An entity primarily responsible for making the resource Lin Wang Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i05 Publisher An entity responsible for making the resource available Capital University of Economics and Business Date A point or period of time associated with an event in the lifecycle of the resource June 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/1d88c4d8ad825f46ea8e1697bdf54b38.pdf 17eaa6771d2459c4664c7ea45a573d88 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 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris 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 BASS: An R Package for Fitting and Performing Sensitivity Analysis of Bayesian Adaptive Spline Surfaces Subject The topic of the resource splines, functional data analysis, sensitivity analysis, nonparametric regression. Description An account of the resource We present the R package BASS as a tool for nonparametric regression. The primary focus of the package is fitting fully Bayesian adaptive spline surface (BASS) models and performing global sensitivity analyses of these models. The BASS framework is similar to that of Bayesian multivariate adaptive regression splines (BMARS) from Denison, Mallick, and Smith (1998), but with many added features. The software is built to efficiently handle significant amounts of data with many continuous or categorical predictors and with functional response. Under our Bayesian framework, most priors are automatic but these can be modified by the user to focus on parsimony and the avoidance of overfitting. If directed to do so, the software uses parallel tempering to improve the reversible jump Markov chain Monte Carlo (RJMCMC) methods used to perform inference. We discuss the implementation of these features and present the performance of BASS in a number of analyses of simulated and real data. Creator An entity primarily responsible for making the resource Devin Francom Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i08 Publisher An entity responsible for making the resource available Los Alamos National Laboratory Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Fajat 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/cab98a1fd6e814b9595c806d6dfeef8c.pdf 148506bc5b5684e9dd15ed73c8659fc8 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 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris 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 BayesNetBP: An R Package for Probabilistic Reasoning in Bayesian Networks Subject The topic of the resource Bayesian network, belief propagation, R, shiny, gene networks, visualization Description An account of the resource The BayesNetBP package has been developed for probabilistic reasoning and visualization in Bayesian networks with nodes that are purely discrete, continuous or mixed (discrete and continuous). Probabilistic reasoning enables a user to absorb information into a Bayesian network and make queries about how the probabilities within the network change in light of new information. The package was developed in the R programming language and is freely available from the Comprehensive R Archive Network. A shiny app with Cytoscape widgets provides an interactive interface for evidence absorption, queries, and visualizations Creator An entity primarily responsible for making the resource Han Yu Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i03 Publisher An entity responsible for making the resource available Roswell Park Comprehensive Cancer Center Date A point or period of time associated with an event in the lifecycle of the resource June 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/48dcb9a1759aa804cf8bc119690f8b68.pdf 03627f86947bdecbd521e3d93b5e8016 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 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris 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 BeSS: An R Package for Best Subset Selection in Linear, Logistic and Cox Proportional Hazards Models Subject The topic of the resource best subset selection, primal dual active set, model selection, variable selection, R, C++, Rcpp Description An account of the resource We introduce a new R package, BeSS, for solving the best subset selection problem in linear, logistic and Cox’s proportional hazard (CoxPH) models. It utilizes a highly efficient active set algorithm based on primal and dual variables, and supports sequential and golden search strategies for best subset selection. We provide a C++ implementation of the algorithm using an Rcpp interface. We demonstrate through numerical experiments based on enormous simulation and real datasets that the new BeSS package has competitive performance compared to other R packages for best subset selection purposes Creator An entity primarily responsible for making the resource Canhong Wen Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i04 Publisher An entity responsible for making the resource available University of Science and Technology of China Sun Yat-sen University Date A point or period of time associated with an event in the lifecycle of the resource June 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/9055d685a1c89c7e9309cecbe66a32d6.pdf 011b470af7d949aae1237f3b640f5e64 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 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris 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 BOIN: An R Package for Designing Single-Agent and Drug-Combination Dose-Finding Trials Using Bayesian Optimal Interval Designs Subject The topic of the resource maximum tolerated dose, dose finding, phase I trials, model-assisted design, Bayesian adaptive design Description An account of the resource This article describes the R package BOIN, which implements a recently developed methodology for designing single-agent and drug-combination dose-finding clinical trials using Bayesian optimal interval designs (Liu and Yuan 2015; Yuan, Hess, Hilsenbeck, and Gilbert 2016). The BOIN designs are novel “model-assisted” phase I trial designs that can be implemented simply and transparently, similar to the 3 + 3 design, but yield excellent performance comparable to those of more complicated, model-based designs. The BOIN package provides tools for designing, conducting, and analyzing single-agent and drug-combination dose-finding trials Creator An entity primarily responsible for making the resource Fangrong Yan Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i13 Publisher An entity responsible for making the resource available China Pharmaceutical University Date A point or period of time associated with an event in the lifecycle of the resource June 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/d0d0b108f29f65c58f669ae4ee4f597d.pdf 9531ed144a175d5cd64fafb3c5467813 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 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris 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 Boosting Functional Regression Models with FDboost Subject The topic of the resource : functional data analysis, function-on-function regression, function-on-scalar regression, gradient boosting, model-based boosting, scalar-on-function regression. Description An account of the resource The R add-on package FDboost is a flexible toolbox for the estimation of functional regression models by model-based boosting. It provides the possibility to fit regression models for scalar and functional response with effects of scalar as well as functional covariates, i.e., scalar-on-function, function-on-scalar and function-on-function regression models. In addition to mean regression, quantile regression models as well as generalized additive models for location scale and shape can be fitted with FDboost. Furthermore, boosting can be used in high-dimensional data settings with more covariates than observations. We provide a hands-on tutorial on model fitting and tuning, including the visualization of results. The methods for scalar-on-function regression are illustrated with spectrometric data of fossil fuels and those for functional response regression with a data set including bioelectrical signals for emotional episodes Creator An entity primarily responsible for making the resource Sarah Brockhaus Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i10 Publisher An entity responsible for making the resource available Ludwig-MaximilansUniversität München Date A point or period of time associated with an event in the lifecycle of the resource June 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/5158b187157fa566cd7321f9c66305b8.pdf 16c456f70080187b08a50d2033186745 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 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris 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 covatest: An R Package for Selecting a Class of Space-Time Covariance Functions Subject The topic of the resource : space-time covariance functions, symmetry, separability, type of non-separability, test on classes of space-time covariance functions Description An account of the resource Although a very rich list of classes of space-time covariance functions exists, specific tools for selecting the appropriate class for a given data set are needed. Thus, the main topic of this paper is to present the new R package, covatest, which can be used for testing some characteristics of a covariance function, such as symmetry, separability and type of non-separability, as well as for testing the adequacy of some classes of space-time covariance models. These last aspects can be relevant for choosing a suitable class of covariance models. The proposed results have been applied to an environmental case study Creator An entity primarily responsible for making the resource Claudia Cappello Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i01 Publisher An entity responsible for making the resource available University of Salento Date A point or period of time associated with an event in the lifecycle of the resource June 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/a3ec35f907df0447dee78fd0a303751e.pdf d5a3003e2e351647b582bbc460b07e21 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 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris 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 credsubs: Multiplicity-Adjusted Subset Identification Subject The topic of the resource : credible subgroups, multiple hypothesis testing, R, subset identification, subgroup analysis Description An account of the resource Subset identification methods are used to select the subset of a covariate space over which the conditional distribution of a response has certain properties – for example, identifying types of patients whose conditional treatment effect is positive. An often critical requirement of subset identification methods is multiplicity control, by which the family-wise Type I error rate is controlled, rather than the Type I error rate of each covariate-determined hypothesis separately. The credible subset (or credible subgroup) method provides a multiplicity-controlled estimate of the target subset in the form of two bounding subsets: one which entirely contains the target subset, and one which is entirely contained by it. We introduce a new R package, credsubs, which constructs credible subset estimates using a sample from the joint posterior distribution of any regression model, a description of the covariate space, and a function mapping the parameters and covariates to the subset criterion. We demonstrate parametric and nonparametric applications of the package to a clinical trial dataset and a neuroimaging dataset, respectively. Creator An entity primarily responsible for making the resource Patrick M. Schnell Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i07 Publisher An entity responsible for making the resource available The Ohio State University Date A point or period of time associated with an event in the lifecycle of the resource June 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/afaefc7a6b615c2f6da4059d552bd389.pdf b4c3eb0b4dfb0e0cef14d99ef60b0085 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 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris 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 CVXR: An R Package for Disciplined Convex Optimization Subject The topic of the resource convex optimization, disciplined convex optimization, optimization, regression, penalized regression, isotonic regression, R package CVXR Description An account of the resource CVXR is an R package that provides an object-oriented modeling language for convex optimization, similar to CVX, CVXPY, YALMIP, and Convex.jl. It allows the user to formulate convex optimization problems in a natural mathematical syntax rather than the restrictive form required by most solvers. The user specifies an objective and set of constraints by combining constants, variables, and parameters using a library of functions with known mathematical properties. CVXR then applies signed disciplined convex programming (DCP) to verify the problem’s convexity. Once verified, the problem is converted into standard conic form using graph implementations and passed to a cone solver such as ECOS or SCS. We demonstrate CVXR’s modeling framework with several applications Creator An entity primarily responsible for making the resource Anqi Fu Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i14 Publisher An entity responsible for making the resource available Stanford University Date A point or period of time associated with an event in the lifecycle of the resource June 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/81ae6f8f346e5c62de6999838391ebeb.pdf c50aebd20b183c400878db4025c86188 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 94 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v094 Date A point or period of time associated with an event in the lifecycle of the resource 2020 Language A language of the resource Inggris 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 deconvolveR: A G-Modeling Program for Deconvolution and Empirical Bayes Estimation Subject The topic of the resource Bayes deconvolution, g-modeling, empirical Bayes, missing species, R package deconvolveR Description An account of the resource Empirical Bayes inference assumes an unknown prior density g(θ) has yielded (unobservables) Θ1, Θ2, . . . , ΘN , and each Θi produces an independent observation Xi from pi(Xi |Θi). The marginal density fi(Xi) is a convolution of the prior g and pi . The Bayes deconvolution problem is one of recovering g from the data. Although estimation of g – so called g-modeling – is difficult, the results are more encouraging if the prior g is restricted to lie within a parametric family of distributions. We present a deconvolution approach where g is restricted to be in a parametric exponential family, along with an R package deconvolveR designed for the purpose Creator An entity primarily responsible for making the resource Balasubramanian Narasimhan Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i11 Publisher An entity responsible for making the resource available Stanford University Date A point or period of time associated with an event in the lifecycle of the resource June 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