1 10 15 https://repository.horizon.ac.id/files/original/d5533428cdb2296adebbb09fc3bbd436.pdf 663531e073a0f71ffa0542d9796d41a9 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 92 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v092 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 Algebraic Analysis of Multiple Social Networks with multiplex Subject The topic of the resource social network analysis, relational algebra, graph visualization, R Description An account of the resource multiplex is a computer program that provides algebraic tools for the analysis of multiple network structures within the R environment. Apart from the possibility to create and manipulate multivariate data representing multiplex, signed, and two-mode networks, this package offers a collection of functions that deal with algebraic systems – such as the partially ordered semigroup, and balance or cluster semirings – their decomposition, and the enumeration of bundle patterns occurring at different levels of the network. Moreover, through Galois derivations between families of the pairs of subsets in different domains it is possible to analyze affiliation networks with an algebraic approach. Visualization of multigraphs, different forms of bipartite graphs, inclusion lattices, Cayley graphs is supported as well with related packages Creator An entity primarily responsible for making the resource J. Antonio Rivero Ostoic Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v092i11 Publisher An entity responsible for making the resource available Antonio Rivero Ostoic Aarhus University Date A point or period of time associated with an event in the lifecycle of the resource February 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/4a459c7d1440e10eb98ea6d2cfc92cae.pdf 146da754b39cd56874b8c3d94bdd5b73 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 92 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v092 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 BPEC: An R Package for Bayesian Phylogeographic and Ecological Clustering Subject The topic of the resource statistical phylogeography, biogeography, population genetics, Bayesian computation, R. Description An account of the resource BPEC is an R package for Bayesian phylogeographic and ecological clustering which allows geographical, environmental and phenotypic measurements to be combined with deoxyribonucleic acid (DNA) sequences in order to reveal geographic structuring of DNA sequence clusters consistent with migration events. DNA sequences are modelled using a collapsed version of a simplified coalescent model projected onto haplotype trees, which subsequently give rise to constrained clusterings as migrations occur. Within each cluster, a multivariate Gaussian distribution of the covariates (geographical, environmental, phenotypic) is used. Inference follows tailored reversible jump Markov chain Monte Carlo sampling so that the number of clusters (i.e., migrations) does not need to be pre-specified. A number of output plots and visualizations are provided which reflect the posterior distribution of the parameters of interest. BPEC also includes functions that create output files which can be loaded into Google Earth. The package commands are illustrated through an example dataset of the polytypic Near Eastern brown frog Rana macrocnemis analyzed using BPEC Creator An entity primarily responsible for making the resource Ioanna Manolopoulou Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v092i05 Publisher An entity responsible for making the resource available University College London Date A point or period of time associated with an event in the lifecycle of the resource February 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/e43c4e1f2ccec8f77c97bbebe2121ef6.pdf 2f1acd8644dd030dda60d7a1243c3e8b 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 92 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v092 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 bridgesampling: An R Package for Estimating Normalizing Constants Subject The topic of the resource bridge sampling, marginal likelihood, model selection, Bayes factor, Warp-III Description An account of the resource Statistical procedures such as Bayes factor model selection and Bayesian model averaging require the computation of normalizing constants (e.g., marginal likelihoods). These normalizing constants are notoriously difficult to obtain, as they usually involve highdimensional integrals that cannot be solved analytically. Here we introduce an R package that uses bridge sampling (Meng and Wong 1996; Meng and Schilling 2002) to estimate normalizing constants in a generic and easy-to-use fashion. For models implemented in Stan, the estimation procedure is automatic. We illustrate the functionality of the package with three examples. Creator An entity primarily responsible for making the resource Quentin F. Gronau Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v092i10 Publisher An entity responsible for making the resource available University of Amsterdam Date A point or period of time associated with an event in the lifecycle of the resource February 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/403b03f77a8a4a710dce7faebab73a17.pdf 72643fd8372d7cc53364155fd7159c89 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 92 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v092 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 Computing the Oja Median in R: The Package OjaNP Subject The topic of the resource Oja median, Oja signs, Oja signed ranks, Oja ranks, R, C++. Description An account of the resource The Oja median is one of several extensions of the univariate median to the multivariate case. It has many desirable properties, but is computationally demanding. In this paper, we first review the properties of the Oja median and compare it to other multivariate medians. Then, we discuss four algorithms to compute the Oja median, which are implemented in our R package OjaNP. Besides these algorithms, the package contains also functions to compute Oja signs, Oja signed ranks, Oja ranks, and the related scatter concepts. To illustrate their use, the corresponding multivariate one- and C-sample location tests are implemented. Creator An entity primarily responsible for making the resource Klaus Nordhausen Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v092i08 Publisher An entity responsible for making the resource available Vienna University of Technology Date A point or period of time associated with an event in the lifecycle of the resource February 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/1ebb480487c044b9910c8ae1428a64dd.pdf 10a59c1be535ac6170e92183840f55ed 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 92 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v092 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 Fitting Prediction Rule Ensembles with R Package pre Subject The topic of the resource prediction rules, ensemble learning, decision trees, lasso penalty, R Description An account of the resource Prediction rule ensembles (PREs) are sparse collections of rules, offering highly interpretable regression and classification models. This paper shows how they can be fitted using function pre from R package pre, which derives PREs largely through the methodology of Friedman and Popescu (2008). The implementation and functionality of pre is described and illustrated through application on a dataset on the prediction of depression. Furthermore, accuracy and sparsity of pre is compared with that of single trees, random forests, lasso regression and the original RuleFit implementation of Friedman and Popescu (2008) in four benchmark datasets. Results indicate that pre derives ensembles with predictive accuracy similar to that of random forests, while using a smaller number of variables for prediction. Furthermore, pre provided better accuracy and sparsity than the original RuleFit implementation Creator An entity primarily responsible for making the resource Marjolein Fokkema Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v092i12 Publisher An entity responsible for making the resource available Universiteit Leiden Date A point or period of time associated with an event in the lifecycle of the resource February 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/e3638d35176cac9880763d96fe3ce1a8.pdf a93f84951565e6aa02a787635c6ec2a5 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 92 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v092 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 gdpc: An R Package for Generalized Dynamic Principal Components Subject The topic of the resource dimensionality reduction, high-dimensional time series, R. Description An account of the resource gdpc is an R package for the computation of the generalized dynamic principal components proposed in Peña and Yohai (2016). In this paper, we briefly introduce the problem of dynamical principal components, propose a solution based on a reconstruction criteria and present an automatic procedure to compute the optimal reconstruction. This solution can be applied to the non-stationary case, where the components need not be a linear combination of the observations, as is the case in the proposal of Brillinger (1981). This article discusses some new features that are included in the package and that were not considered in Peña and Yohai (2016). The most important one is an automatic procedure for the identification of both the number of lags to be used in the generalized dynamic principal components as well as the number of components required for a given reconstruction accuracy. These tools make it easy to use the proposed procedure in large data sets. The procedure can also be used when the number of series is larger than the number of observations. We describe an iterative algorithm and present an example of the use of the package with real data Creator An entity primarily responsible for making the resource Daniel Peña Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v092c02 Publisher An entity responsible for making the resource available Universidad Carlos III de Madrid Date A point or period of time associated with an event in the lifecycle of the resource February 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/56d1cbd2564295b0db3f38a9a7dbeab4.pdf 93a1a565f8fe5b3ed94841dd998f5e32 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 92 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v092 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 Integration of R and Scala Using rscala Subject The topic of the resource Java virtual machine (JVM), language bridges, R, Scala Description An account of the resource The rscala software is a simple, two-way bridge between R and Scala that allows users to leverage the unique strengths of both languages in a single project. Scala classes can be instantiated from R and Scala methods can be called. Arbitrary Scala code can be executed on-the-fly from within R and callbacks to R are supported. R packages can be developed based on Scala. Conversely, rscala also enables R code to be embedded within a Scala application. The rscala package is available from the Comprehensive R Archive Network (CRAN) and has no dependencies beyond base R and the Scala standard library. Creator An entity primarily responsible for making the resource David B. Dahl Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v092i04 Publisher An entity responsible for making the resource available Brigham Young University Date A point or period of time associated with an event in the lifecycle of the resource February 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 Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/5b1b0ad0b59671779265efd45f99c996.pdf 6b19410965dcddc7b83411cb400cac10 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 92 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v092 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 Most Likely Transformations: The mlt Package Subject The topic of the resource Transformation model, Transformation analysis Description An account of the resource The mlt package implements maximum likelihood estimation in the class of conditional transformation models. Based on a suitable explicit parameterization of the unconditional or conditional transformation function using infrastructure from package basefun, we show how one can define, estimate, and compare a cascade of increasingly complex transformation models in the maximum likelihood framework. Models for the unconditional or conditional distribution function of any univariate response variable are set-up and estimated in the same computational framework simply by choosing an appropriate transformation function and parameterization thereof. As it is computationally cheap to evaluate the distribution function, models can be estimated by maximization of the exact likelihood, especially in the presence of random censoring or truncation. The relatively dense high-level implementation in the R system for statistical computing allows generalization of many established implementations of linear transformation models, such as the Cox model or other parametric models for the analysis of survival or ordered categorical data, to the more complex situations illustrated in this paper Creator An entity primarily responsible for making the resource Torsten Hothorn Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v092i01 Publisher An entity responsible for making the resource available Universität Zürich Date A point or period of time associated with an event in the lifecycle of the resource February 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/da63c8ca8656c2705cc75c05c97391d8.pdf 01284f6530fa2c34349069c21303c4d0 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 92 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v092 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 PAFit: An R Package for the Non-Parametric Estimation of Preferential Attachment and Node Fitness in Temporal Complex Networks Subject The topic of the resource temporal networks, dynamic networks, preferential attachment, fitness, rich-getricher, fit-get-richer, R, C++ Description An account of the resource Many real-world systems are profitably described as complex networks that grow over time. Preferential attachment and node fitness are two simple growth mechanisms that not only explain certain structural properties commonly observed in real-world systems, but are also tied to a number of applications in modeling and inference. While there are statistical packages for estimating various parametric forms of the preferential attachment function, there is no such package implementing non-parametric estimation procedures. The non-parametric approach to the estimation of the preferential attachment function allows for comparatively finer-grained investigations of the “rich-get-richer” phenomenon that could lead to novel insights in the search to explain certain nonstandard structural properties observed in real-world networks. This paper introduces the R package PAFit, which implements non-parametric procedures for estimating the preferential attachment function and node fitnesses in a growing network, as well as a number of functions for generating complex networks from these two mechanisms. The main computational part of the package is implemented in C++ with OpenMP to ensure scalability to large-scale networks. In this paper, we first introduce the main functionalities of PAFit through simulated examples, and then use the package to analyze a collaboration network between scientists in the field of complex networks. The results indicate the joint presence of “richget-richer” and “fit-get-richer” phenomena in the collaboration network. The estimated attachment function is observed to be near-linear, which we interpret as meaning that the chance an author gets a new collaborator is proportional to their current number of collaborators. Furthermore, the estimated author fitnesses reveal a host of familiar faces from the complex networks community among the field’s topmost fittest network scientist Creator An entity primarily responsible for making the resource Thong Pham Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v092i03 Publisher An entity responsible for making the resource available RIKEN Center for AIP Date A point or period of time associated with an event in the lifecycle of the resource February 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 Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/ae00fae8891d1b4c21822c6db52c4438.pdf 71a135b2ee180d6c4543a58347aedb5c 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 92 Tahun 2020 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v092 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 Graphics (3rd Edition) Subject The topic of the resource Graphic Description An account of the resource It has been fourteen years since the first edition of R Graphics was published (Murrell 2006) and eight since the second one was released (Murrell 2012). For readers, like me, who read the first edition of R Graphics but skipped the second one, this third edition of R Graphics represents a new, fresh updated version of the book. In transit from the first to the third edition, in addition to including new material, Dr. Murrell has introduced key changes and some rearrangements that have made the whole book more understandable, especially the concepts related to viewports and coordinate systems. Creator An entity primarily responsible for making the resource Jose M. Pavía Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v092b01 Publisher An entity responsible for making the resource available Universitat de València Date A point or period of time associated with an event in the lifecycle of the resource February 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