2 10 15 https://repository.horizon.ac.id/files/original/ca54f33bd3da4c4e4f5634354d286806.pdf 797c5d13857b46c60db04650b8210aea 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 98 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v098 Date A point or period of time associated with an event in the lifecycle of the resource 2021 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 Subgroup Identification Using the personalized Package Subject The topic of the resource subgroup identification, heterogeneity of treatment effect, interaction modeling, inverse weighting, individualized treatment rules, precision medicine. Description An account of the resource A plethora of disparate statistical methods have been proposed for subgroup identification to help tailor treatment decisions for patients. However a majority of them do not have corresponding R packages and the few that do pertain to particular statistical methods or provide little means of evaluating whether meaningful subgroups have been found. Recently, the work of Chen, Tian, Cai, and Yu (2017) unified many of these subgroup identification methods into one general, consistent framework. The goal of the personalized package is to provide a corresponding unified software framework for subgroup identification analyses that provides not only estimation of subgroups, but evaluation of treatment effects within estimated subgroups. The personalized package allows for a variety of subgroup identification methods for many types of outcomes commonly encountered in medical settings. The package is built to incorporate the entire subgroup identification analysis pipeline including propensity score diagnostics, subgroup estimation, analysis of the treatment effects within subgroups, and evaluation of identified subgroups. In this framework, different methods can be accessed with little change in the analysis code. Similarly, new methods can easily be incorporated into the package. Besides familiar statistical models, the package also allows flexible machine learning tools to be leveraged in subgroup identification. Further estimation improvements can be obtained via efficiency augmentation. Creator An entity primarily responsible for making the resource Jared D. Huling Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v098i05 Publisher An entity responsible for making the resource available University of Minnesota Date A point or period of time associated with an event in the lifecycle of the resource May 2021 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/8cc223f326844e261617f96994a532a6.pdf 01b2eb7fcc1bbbb8a12441bd9fcf77ce 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 98 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v098 Date A point or period of time associated with an event in the lifecycle of the resource 2021 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 FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets Subject The topic of the resource : basic areal units, EM algorithm, fixed rank kriging, spatial random effects model, spatial prediction. Description An account of the resource FRK is an R software package for spatial/spatio-temporal modeling and prediction with large datasets. It facilitates optimal spatial prediction (kriging) on the most commonly used manifolds (in Euclidean space and on the surface of the sphere), for both spatial and spatio-temporal fields. It differs from many of the packages for spatial modeling and prediction by avoiding stationary and isotropic covariance and variogram models, instead constructing a spatial random effects (SRE) model on a fine-resolution discretized spatial domain. The discrete element is known as a basic areal unit (BAU), whose introduction in the software leads to several practical advantages. The software can be used to (i) integrate multiple observations with different supports with relative ease; (ii) obtain exact predictions at millions of prediction locations (without conditional simulation); and (iii) distinguish between measurement error and fine-scale variation at the resolution of the BAU, thereby allowing for reliable uncertainty quantification. The temporal component is included by adding another dimension. A key component of the SRE model is the specification of spatial or spatio-temporal basis functions; in the package, they can be generated automatically or by the user. The package also offers automatic BAU construction, an expectation-maximization (EM) algorithm for parameter estimation, and functionality for prediction over any user-specified polygons or BAUs. Use of the package is illustrated on several spatial and spatio-temporal datasets, and its predictions and the model it implements are extensively compared to others commonly used for spatial prediction and modeling Creator An entity primarily responsible for making the resource Andrew Zammit-Mangion Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v098i04 Publisher An entity responsible for making the resource available University of Wollongong Date A point or period of time associated with an event in the lifecycle of the resource May 2021 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/4ef3f34f887161406e18a25d18520f78.pdf b0658c2be348b72112469720b0fa9205 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 98 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v098 Date A point or period of time associated with an event in the lifecycle of the resource 2021 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 Model-Based Clustering, Classification, and Discriminant Analysis Using the Generalized Hyperbolic Distribution: MixGHD R package Subject The topic of the resource model-based clustering, classification, discriminant analysis, EM algorithm, generalized hyperbolic distribution Description An account of the resource The MixGHD package for R performs model-based clustering, classification, and discriminant analysis using the generalized hyperbolic distribution (GHD). This approach is suitable for data that can be considered a realization of a (multivariate) continuous random variable. The GHD has the advantage of being flexible due to skewness, concentration, and index parameters; as such, clustering methods that use this distribution are capable of estimating clusters characterized by different shapes. The package provides five different models all based on the GHD, an efficient routine for discriminant analysis, and a function to measure cluster agreement. This paper is split into three parts: the first is devoted to the formulation of each method, extending them for classification and discriminant analysis applications, the second focuses on the algorithms, and the third shows the use of the package on real datasets. Creator An entity primarily responsible for making the resource Cristina Tortora Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v098i03 Publisher An entity responsible for making the resource available MacEwan University Date A point or period of time associated with an event in the lifecycle of the resource May 2021 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/a34cceab26af7b451381e75986a4eef1.pdf 65ac448a40ecf8daecdfb08c421bae62 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 98 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v098 Date A point or period of time associated with an event in the lifecycle of the resource 2021 Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Bayesian Multivariate Spatial Models for Lattice Data with INLA Subject The topic of the resource INLA, spatial statistics, multivariate modeling, R. Description An account of the resource The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with the INLA package for Bayesian inference. The multivariate spatial models implemented include different structures to model the spatial variation of the variables and the between-variables variability. In this way, fitting multivariate spatial models becomes faster and easier. The use of the different models included in the package is illustrated using two different datasets: the well-known North Carolina SIDS data and mortality by three causes of death in Comunidad Valenciana (Spain). Creator An entity primarily responsible for making the resource Francisco Palmí-Perales Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v098i02 Publisher An entity responsible for making the resource available Universidad de Castilla-La Mancha Date A point or period of time associated with an event in the lifecycle of the resource May 2021 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/81425306cefbcd5ddf16f50445403198.pdf c13c3e56c97303779e2736552af1a421 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 98 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v098 Date A point or period of time associated with an event in the lifecycle of the resource 2021 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 Monitoring Data in R with the lumberjack Package Subject The topic of the resource data quality, process monitoring, logging, debugging, R. Description An account of the resource Monitoring data while it is processed and transformed can yield detailed insight into the dynamics of a (running) production system. The lumberjack package is a lightweight package allowing users to follow how an R object is transformed as it is manipulated by R code. The package abstracts all logging code from the user, who only needs to specify which objects are logged and what information should be logged. A few default loggers are included with the package but the package is extensible through user-defined logger objects. Creator An entity primarily responsible for making the resource Mark P. J. van der Loo Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v098i01 Publisher An entity responsible for making the resource available Statistics Netherlands Date A point or period of time associated with an event in the lifecycle of the resource Mei 2021 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