1 10 11 https://repository.horizon.ac.id/files/original/cf1f53fc5fcd0e7613b8ad82553c1c12.pdf e157043da23e78d78f332d5cd0ef4a82 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 97 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v097 Date A point or period of time associated with an event in the lifecycle of the resource 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 Indonesia 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 R-Friendly Multi-Threading in C++ Subject The topic of the resource R, C++, parallel, thread, concurrency Description An account of the resource Calling multi-threaded C++ code from R has its perils. Since the R interpreter is single-threaded, one must not check for user interruptions or print to the R console from multiple threads. One can, however, synchronize with R from the main thread. The R package RcppThread (current version 1.0.0) contains a header only C++ library for thread safe communication with R that exploits this fact. It includes C++ classes for threads, a thread pool, and parallel loops that routinely synchronize with R. This article explains the package’s functionality and gives examples of its usage. The synchronization mechanism may also apply to other threading frameworks. Benchmarks suggest that, although synchronization causes overhead, the parallel abstractions of RcppThread are competitive with other popular libraries in typical scenarios encountered in statistical computing. Creator An entity primarily responsible for making the resource Thomas Nagler Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v097c01 Publisher An entity responsible for making the resource available Leiden University Date A point or period of time associated with an event in the lifecycle of the resource Januari 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/52b4e37916baafa20043e277b9e5b1ba.pdf 48a8b14876c149d5d0357644a2d931dd 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 97 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v097 Date A point or period of time associated with an event in the lifecycle of the resource 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 Indonesia 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 Data Validation Infrastructure for R Subject The topic of the resource data checking, data quality, data cleaning, R Description An account of the resource Checking data quality against domain knowledge is a common activity that pervades statistical analysis from raw data to output. The R package validate facilitates this task by capturing and applying expert knowledge in the form of validation rules: logical restrictions on variables, records, or data sets that should be satisfied before they are considered valid input for further analysis. In the validate package, validation rules are objects of computation that can be manipulated, investigated, and confronted with data or versions of a data set. The results of a confrontation are then available for further investigation, summarization or visualization. Validation rules can also be endowed with metadata and documentation and they may be stored or retrieved from external sources such as text files or tabular formats. This data validation infrastructure thus allows for systematic, user-defined definition of data quality requirements that can be reused for various versions of a data set or by data correction algorithms that are parameterized by validation rules. 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/v097i10 Publisher An entity responsible for making the resource available Mark P. J. van der Loo, Edwin de Jonge Date A point or period of time associated with an event in the lifecycle of the resource Januari 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/ac17a83d3eb5a55d8db9f12a987e3493.pdf f4f38fc14feaccbe7521c564aacdfa89 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 97 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v097 Date A point or period of time associated with an event in the lifecycle of the resource 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 Indonesia 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 multimode: An R Package for Mode Assessment Subject The topic of the resource multimodality, critical bandwidth, excess mass, bootstrap test Description An account of the resource In several applied fields, multimodality assessment is a crucial task as a previous exploratory tool or for determining the suitability of certain distributions. The goal of this paper is to present the utilities of the R package multimode, which collects different exploratory and testing non-parametric approaches for determining the number of modes and their estimated location. Specifically, some graphical tools (SiZer map, mode tree or mode forest) are provided, allowing for the identification of mode patterns, based on the kernel density estimation. Several formal testing procedures for determining the number of modes are described in this paper and implemented in the multimode package, including methods based on the ideas of the critical bandwidth, the excess mass or using a combination of both. This package also includes a function for estimating the modes locations and different classical data examples that have been considered in mode testing literature Creator An entity primarily responsible for making the resource Jose Ameijeiras-Alonso Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v097i09 Publisher An entity responsible for making the resource available Universidade de Santiago de Compostela Date A point or period of time associated with an event in the lifecycle of the resource Januari 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/a1973d4b3908236f87f46a2dc782afdc.pdf 33232149859288981f16a59a4c712abc 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 97 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v097 Date A point or period of time associated with an event in the lifecycle of the resource 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 Indonesia 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 mosum: A Package for Moving Sums in Change-Point Analysis Subject The topic of the resource MOSUM, change-point analysis, time series Description An account of the resource Time series data, i.e., temporally ordered data, is routinely collected and analysed in in many fields of natural science, economy, technology and medicine, where it is of importance to verify the assumption of stochastic stationarity prior to modeling the data. Nonstationarities in the data are often attributed to structural changes with segments between adjacent change-points being approximately stationary. A particularly important, and thus widely studied, problem in statistics and signal processing is to detect changes in the mean at unknown time points. In this paper, we present the R package mosum, which implements elegant and mathematically well-justified procedures for the multiple mean change problem using the moving sum statistics Creator An entity primarily responsible for making the resource Alexander Meier Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v097i08 Publisher An entity responsible for making the resource available Otto von Guericke University Magdeburg Date A point or period of time associated with an event in the lifecycle of the resource Januari 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/98b9d93e2aede1b0ec3b9d595c1a828f.pdf ae718a93719b78779d9f551a96a5592b 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 97 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v097 Date A point or period of time associated with an event in the lifecycle of the resource 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 Indonesia 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 FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs Subject The topic of the resource ascertainment correction, correlated time-to-event data, EM algorithm, family study designs, mutation carrier probability, penetrance function estimation. Description An account of the resource FamEvent is a comprehensive R package for simulating and modeling age-at-disease onset in families carrying a rare gene mutation. The package can simulate complex family data for variable time-to-event outcomes under three common family study designs (population, high-risk clinic and multi-stage) with various levels of missing genetic information among family members. Residual familial correlation can be induced through the inclusion of a frailty term or a second gene. Disease-gene carrier probabilities are evaluated assuming Mendelian transmission or empirically from the data. When genetic information on the disease gene is missing, an expectation-maximization algorithm is employed to calculate the carrier probabilities. Penetrance model functions with ascertainment correction adapted to the sampling design provide age-specific cumulative disease risks by sex, mutation status, and other covariates for simulated data as well as real data analysis. Robust standard errors and 95% confidence intervals are available for these estimates. Plots of pedigrees and penetrance functions based on the fitted model provide graphical displays to evaluate and summarize the models. Creator An entity primarily responsible for making the resource Yun-Hee Choi Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v097i07 Publisher An entity responsible for making the resource available The University of Western Ontario Date A point or period of time associated with an event in the lifecycle of the resource Januari 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/dcf46d604918d00932bbd9493a9b073d.pdf 5455b039c2d42a0594f52929bcb13017 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 97 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v097 Date A point or period of time associated with an event in the lifecycle of the resource 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 Indonesia 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 Ball: An R Package for Detecting Distribution Difference and Association in Metric Spaces Subject The topic of the resource K-sample test problem, test of mutual independence problem, ball divergence, ball covariance, metric space. Description An account of the resource The rapid development of modern technology has created many complex datasets in non-linear spaces, while most of the statistical hypothesis tests are only available in Euclidean or Hilbert spaces. To properly analyze the data with more complicated structures, efforts have been made to solve the fundamental test problems in more general spaces (Lyons 2013; Pan, Tian, Wang, and Zhang 2018; Pan, Wang, Zhang, Zhu, and Zhu 2020). In this paper, we introduce a publicly available R package Ball for the comparison of multiple distributions and the test of mutual independence in metric spaces, which extends the test procedures for the equality of two distributions (Pan et al. 2018) and the independence of two random objects (Pan et al. 2020). The Ball package is computationally efficient since several novel algorithms as well as engineering techniques are employed in speeding up the ball test procedures. Two real data analyses and diverse numerical studies have been performed, and the results certify that the Ball package can detect various distribution differences and complicated dependencies in complex datasets, e.g., directional data and symmetric positive definite matrix data. Creator An entity primarily responsible for making the resource Jin Zhu Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v097i06 Publisher An entity responsible for making the resource available Sun Yat-Sen Universit Date A point or period of time associated with an event in the lifecycle of the resource Januari 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/9dfb0da9e36c3036765887aeccd09cff.pdf 01cad2c3b46f00e1ccd9dc4851188a85 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 97 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v097 Date A point or period of time associated with an event in the lifecycle of the resource 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 Indonesia 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 svars: An R Package for Data-Driven Identification in Multivariate Time Series Analysis Subject The topic of the resource SVAR models, identification, independent components, non-Gaussian maximum likelihood, changes in volatility, smooth transition covariance, R Description An account of the resource Structural vector autoregressive (SVAR) models are frequently applied to trace the contemporaneous linkages among (macroeconomic) variables back to an interplay of orthogonal structural shocks. Under Gaussianity the structural parameters are unidentified without additional (often external and not data-based) information. In contrast, the often reasonable assumption of heteroskedastic and/or non-Gaussian model disturbances offers the possibility to identify unique structural shocks. We describe the R package svars which implements statistical identification techniques that can be both heteroskedasticity-based or independence-based. Moreover, it includes a rich variety of analysis tools that are well known in the SVAR literature. Next to a comprehensive review of the theoretical background, we provide a detailed description of the associated R functions. Furthermore, a macroeconomic application serves as a step-by-step guide on how to apply these functions to the identification and interpretation of structural VAR models Creator An entity primarily responsible for making the resource Helmut Herwartz Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v097i05 Publisher An entity responsible for making the resource available University of Goettingen Date A point or period of time associated with an event in the lifecycle of the resource Januari 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/4638549fdad73df5e5e33561e665fc1f.pdf eddecb2aac0637a6164b98c1d1c6a34e 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 97 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v097 Date A point or period of time associated with an event in the lifecycle of the resource 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 Indonesia 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 The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories Subject The topic of the resource : forest inventory, design-based, infinite population approach, two- and three-phase sampling, regression estimators, small area estimation Description An account of the resource Forest inventories provide reliable evidence-based information to assess the state and development of forests over time. They typically consist of a random sample of plot locations in the forest that are assessed individually by field crews. Due to the high costs of these terrestrial campaigns, remote sensing information available in high quantity and low costs is frequently incorporated in the estimation process in order to reduce inventory costs or improve estimation precision. With respect to this objective, the application of multiphase forest inventory methods (e.g., double- and triple-sampling regression estimators) has proved to be efficient. While these methods have been successfully applied in practice, the availability of open-source software has been rare if not non-existent. The R package forestinventory provides a comprehensive set of global and small area regression estimators for multiphase forest inventories under simple and cluster sampling. The implemented methods have been demonstrated in various scientific studies ranging from small to large scale forest inventories, and can be used for post-stratification, regression and regression within strata. This article gives an extensive review of the mathematical theory of this family of design-based estimators, puts them into a common framework of forest inventory scenarios and demonstrates their application in the R environment. Creator An entity primarily responsible for making the resource Andreas Hill Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v097i04 Publisher An entity responsible for making the resource available ETH Zürich Date A point or period of time associated with an event in the lifecycle of the resource Januari 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/8a06737694761e0b9dd00f10d1ebe03d.pdf e52b246b7db807368405df2c40c85212 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 97 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v097 Date A point or period of time associated with an event in the lifecycle of the resource 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 Indonesia 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 Simulating Survival Data Using the simsurv R Package Subject The topic of the resource survival, time-to-event, simulation, R Description An account of the resource The simsurv R package allows users to simulate survival (i.e., time-to-event) data from standard parametric distributions (exponential, Weibull, and Gompertz), two-component mixture distributions, or a user-defined hazard function. Baseline covariates can be included under a proportional hazards assumption. Clustered event times, for example individuals within a family, are also easily accommodated. Time-dependent effects (i.e., nonproportional hazards) can be included by interacting covariates with linear time or a user-defined function of time. Under a user-defined hazard function, event times can be generated for a variety of complex models such as flexible (spline-based) baseline hazards, models with time-varying covariates, or joint longitudinal-survival models. Creator An entity primarily responsible for making the resource Samuel L. Brilleman Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v097i03 Publisher An entity responsible for making the resource available Samuel L. Brilleman Monash University Date A point or period of time associated with an event in the lifecycle of the resource Januari 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/25b499ee5eb38a325aee71e53a5ae069.pdf ccca6ad880f210fae8eec778d0996aa6 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 97 Tahun 2021 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v097 Date A point or period of time associated with an event in the lifecycle of the resource 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 Indonesia 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 microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R Subject The topic of the resource : synthetic control methods, micro-level, causal inference, Synth, program evaluation Description An account of the resource The R package microsynth has been developed for implementation of the synthetic control methodology for comparative case studies involving micro- or meso-level data. The methodology implemented within microsynth is designed to assess the efficacy of a treatment or intervention within a well-defined geographic region that is itself a composite of several smaller regions (where data are available at the more granular level for comparison regions as well). The effect of the intervention on one or more time-varying outcomes is evaluated by determining a synthetic control region that resembles the treatment region across pre-intervention values of the outcome(s) and time-invariant covariates and that is a weighted composite of many untreated comparison regions. The microsynth procedure includes functionality that enables its user to (1) calculate weights for synthetic control, (2) tabulate results for statistical inferences, and (3) create time series plots of outcomes for treatment and synthetic control. In this article, microsynth is described in detail and its application is illustrated using data from a drug market intervention in Seattle, WA Creator An entity primarily responsible for making the resource Michael W. Robbins Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v097i02 Publisher An entity responsible for making the resource available RAND Corporation Date A point or period of time associated with an event in the lifecycle of the resource Januari 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