2 10 17 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/e6f302ed9745112ac7f62027c46cb5bf.pdf 6d6e4a0949af9ef1050b6f9b6a2e9bc9 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 hybridModels: An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks Subject The topic of the resource modeling, dynamic networks, epidemic, stochastic simulation, R Description An account of the resource Disease spreading simulations are traditionally performed using coupled differential equations. However, in the setting of metapopulations, most of the solutions provided by this method do not account for the dynamic topography of subpopulations. Conversely, the alternative approach of individual-based modeling (IBM) may add computational cost and complexity. Hybrid models allow for the study of disease spreading because they combine both aforementioned approaches by separating them across different scales: a local scale that addresses subpopulation dynamics using coupled differential equations and a global scale that addresses the contact between these subpopulations using IBM. We present a simple way of simulating the spread of disease in dynamic networks using the high-level statistical computational language R and the hybridModels package. We built four examples using disease spread models at the local scale in several different networks: an animal movement network; a three-node network, whose model solution using a stochastic simulation algorithm is compared with the ordinary differential equations approach; the commuting of individuals between patches, which we compare with the permanent migration of individuals; and the commuting of individuals within the metropolitan area of São Paulo Creator An entity primarily responsible for making the resource Fernando S. Marques Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i06 Publisher An entity responsible for making the resource available Universidade de São Paulo 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/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/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/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/19577f13a80eedbc2fd7c190bb2110f1.pdf 7f02da50c07233534c566f8856622c81 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 R Package OBsMD for Follow-Up Designs in an Objective Bayesian Framework Subject The topic of the resource Bayesian design of experiments, screening experiments, Bayesian model selection, model discrimination Description An account of the resource Fractional factorial experiments often produce ambiguous results due to confounding among the factors; as a consequence more than one model is consistent with the data. Thus, the practical problem is how to choose additional runs in order to discriminate among the rival models and to identify the active factors. The R package OBsMD solves this problem by implementing the objective Bayesian methodology proposed by Consonni and Deldossi (2016). The main feature of this approach is that the follow-up designs are obtained through the use of just two functions, OBsProb() and OMD() without requiring any prior specifications, being fully automatic. Thus OBsMD provides a simple tool for conducting a design of experiments to solve real world problems. Creator An entity primarily responsible for making the resource Laura Deldossi Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v094i02 Publisher An entity responsible for making the resource available Universitá Cattolica del Sacro Cuore 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