1 10 11 https://repository.horizon.ac.id/files/original/127b7bd212ada403b300b593924c2027.pdf e2b433e945c16ea589a820d40603cefe 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 104 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v104 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English Type The nature or genre of the resource Text 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 spsur: An R Package for Dealing with Spatial Seemingly Unrelated Regression Models Subject The topic of the resource : spatial seemingly unrelated regression models, Lagrange multipliers test, maximum likelihood, instrumental variables, panel data, COVID-19, mobility, R package Description An account of the resource Spatial seemingly unrelated regression (spatial SUR) models are a useful multiequational econometric specification to simultaneously incorporate spatial effects and correlated error terms across equations. The purpose of the spsur R package is to supply a complete set of functions to test for spatial structures in the residual of a SUR model; to estimate the most popular specifications by applying different methods and test for linear restrictions on the parameters. The package also facilitates the estimation of socalled spatial impacts, conveniently adapted to a SUR framework. The package includes functions to simulate datasets with the features decided by the user, which may be useful in teaching activities or in more general research projects. The article concludes with a real data application showing the potential that spsur has to examine the relation of individual mobility over geographic areas and the incidence of COVID-19 in Spain during the first lockdown Creator An entity primarily responsible for making the resource Román Mínguez Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v104i11 Publisher An entity responsible for making the resource available University of Castilla-La Manch Date A point or period of time associated with an event in the lifecycle of the resource October 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/f4f8aa483ea64494a9a546651b2781bd.pdf a7a39f4a22e416e80c552f043d26a780 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 104 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v104 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 A Practitioner's Guide and MATLAB Toolbox for Mixed Frequency State Space Models Subject The topic of the resource mixed frequency, state space, Kalman filter, maximum likelihood, MATLAB. Description An account of the resource The use of mixed frequency data is now common in many applications, ranging from the analysis of high frequency financial time series to large cross-sections of macroeconomic time series. In this article, we show how state space methods can easily facilitate both estimation and inference in these settings. After presenting a unified treatment of the state space approach to mixed frequency data modeling, we provide a series of applications to demonstrate how our MATLAB toolbox can make the estimation and post-processing of these models straightforward. Creator An entity primarily responsible for making the resource Scott A. Brave Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v104i10 Publisher An entity responsible for making the resource available Morning Consult Date A point or period of time associated with an event in the lifecycle of the resource October 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/ce3da5da7df640b43bd41101057a70df.pdf c0f479309e3133ea7d9ad736b5492357 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 104 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v104 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 BGVAR: Bayesian Global Vector Autoregressions with Shrinkage Priors in R Subject The topic of the resource global vector autoregressions, Bayesian inference, time series analysis, R. Description An account of the resource This document introduces the R package BGVAR to estimate Bayesian global vector autoregressions (GVAR) with shrinkage priors and stochastic volatility. The Bayesian treatment of GVARs allows to include large information sets by mitigating issues related to overfitting. This often improves inference as well as out-of-sample forecasts. Computational efficiency is achieved by using C++ to considerably speed up time-consuming functions. To maximize usability, the package includes numerous functions for carrying out structural inference and forecasting. These include generalized and structural impulse response functions, forecast error variance, and historical decompositions as well as conditional forecast Creator An entity primarily responsible for making the resource Maximilian Boeck Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v104i09 Publisher An entity responsible for making the resource available Vienna School of International Studies Vienna University of Economics and Business Date A point or period of time associated with an event in the lifecycle of the resource October 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/cc2eaaf1bdbe701edbed1ceecb7ac92b.pdf 994de08d63e23b314d557fd217d94538 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 104 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v104 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 Analyzing Intraday Financial Data in R: The highfrequency Package Subject The topic of the resource financial markets, high-frequency data, jumps, realized measures, R Description An account of the resource The highfrequency package for the R programming language provides functionality for pre-processing financial high-frequency data, analyzing intraday stock returns, and forecasting stock market volatility. For academics and practitioners alike, it provides a tool chain required to work with such datasets and to conduct statistical analyses dedicated to spot volatility, jumps, realized measures, and many more. We showcase our implemented routines and models on raw high-frequency data from large stock exchanges. Creator An entity primarily responsible for making the resource Kris Boudt Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v104i08 Publisher An entity responsible for making the resource available Ghent University Vrije Universiteit Brussel Vrije Universiteit Amsterdam Date A point or period of time associated with an event in the lifecycle of the resource October 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/5f57093f7f57845a762ef86e2e4e4e29.pdf d26e24e97744f29e1398c94de90dfe2f 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 104 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v104 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 synthACS: Spatial Microsimulation Modeling with Synthetic American Community Survey Data Subject The topic of the resource R, SMSM, ACS, spatial microsimulation modeling, simulation, synthetic data, simulated annealing Description An account of the resource synthACS is an R package that provides flexible tools for building synthetic microdatasets based on American Community Survey (ACS) base tables, allows data-extensibility and enables to conduct spatial microsimulation modeling (SMSM) via simulated annealing. To our knowledge, it is the first R package to provide broadly applicable tools for SMSM with ACS data as well as the first SMSM implementation that uses unequal probability sampling in the simulated annealing algorithm. In this paper, we contextualize these developments within the SMSM literature, provide a hands-on user-guide to package synthACS, present a case study of SMSM related to population dynamics, and note areas for future research Creator An entity primarily responsible for making the resource Alex Whitworth Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v104i07 Date A point or period of time associated with an event in the lifecycle of the resource October 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/749d5d50ffa09f276cb3188819ba8d7a.pdf 990f5fa8dff458b723e6fd829cb3bbb6 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 104 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v104 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 Fast Penalized Regression and Cross Validation for Tall Data with the oem Package Subject The topic of the resource lasso, MCP, optimization, expectation maximization, C++, OpenMP, parallel computing, out-of-memory computing Description An account of the resource A large body of research has focused on theory and computation for variable selection techniques for high dimensional data. There has been substantially less work in the big “tall” data paradigm, where the number of variables may be large, but the number of observations is much larger. The orthogonalizing expectation maximization (OEM) algorithm is one approach for computation of penalized models which excels in the big tall data regime. The oem package is an efficient implementation of the OEM algorithm which provides a multitude of computation routines with a focus on big tall data, such as a function for out-of-memory computation, for large-scale parallel computation of penalized regression models. Furthermore, in this paper we propose a specialized implementation of the OEM algorithm for cross validation, dramatically reducing the computing time for cross validation over a naive implementation. 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/v104i06 Publisher An entity responsible for making the resource available University of Minnesota, Twin Cities Date A point or period of time associated with an event in the lifecycle of the resource October 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/7b545fa77a23aa8a9ed69f4b99153359.pdf 0de13b5bfe7d5f69304ec7b4a72ee1be 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 104 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v104 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 calculus: High-Dimensional Numerical and Symbolic Calculus in R Subject The topic of the resource : symbolic programming, finite difference, differential operators, numerical integration, coordinate systems, Einstein summation, Taylor series, Hermite polynomials, R. Description An account of the resource The R package calculus implements C++-optimized functions for numerical and symbolic calculus, such as the Einstein summing convention, fast computation of the LeviCivita symbol and generalized Kronecker delta, Taylor series expansion, multivariate Hermite polynomials, high-order derivatives, ordinary differential equations, differential operators and numerical integration in arbitrary orthogonal coordinate systems. The library applies numerical methods when working with functions, or symbolic programming when working with characters or expressions. The package handles multivariate numerical calculus in arbitrary dimensions and coordinates. It implements the symbolic counterpart of the numerical methods whenever possible, without depending on external computer algebra systems. Except for Rcpp, the package has no strict dependencies in order to provide a stable self-contained toolbox that invites re-use Creator An entity primarily responsible for making the resource Emanuele Guidotti Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v104i05 Publisher An entity responsible for making the resource available University of Neuchâtel CREST, Japan Science and Technology Agency Date A point or period of time associated with an event in the lifecycle of the resource September 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/d9b30e7586da716f83b46be6dead6e87.pdf 71e7dc1e41c2b8a799b6a62097b35d22 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 104 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v104 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 athogen.jl: Infectious Disease Transmission Network Modeling with Julia Subject The topic of the resource epidemic, individual level models, transmission networks, Bayesian, Julia. Description An account of the resource We introduce Pathogen.jl for simulation and inference of transmission network individual level models (TN-ILMs) of infectious disease spread in continuous time. TN-ILMs can be used to jointly infer transmission networks, event times, and model parameters within a Bayesian framework via Markov chain Monte Carlo (MCMC). We detail our specific strategies for conducting MCMC for TN-ILMs, and our implementation of these strategies in the Julia package, Pathogen.jl, which leverages key features of the Julia language. We provide an example using Pathogen.jl to simulate an epidemic following a susceptible-infectious-removed (SIR) TN-ILM, and then perform inference using observations that were generated from that epidemic. We also demonstrate the functionality of Pathogen.jl with an application of TN-ILMs to data from a measles outbreak that occurred in Hagelloch, Germany, in 1861 (Pfeilsticker 1863; Oesterle 1992). Creator An entity primarily responsible for making the resource Justin Angevaare Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v104i04 Publisher An entity responsible for making the resource available University of Guelph Date A point or period of time associated with an event in the lifecycle of the resource September 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/4154e7d44ba067300afb2f6bf1cd6973.pdf 336ed994fb3fa8639439b8dc77909324 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 104 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v104 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 AMR: An R Package for Working with Antimicrobial Resistance Data Subject The topic of the resource antimicrobial resistance, data analysis, R, software, epidemiology Description An account of the resource Antimicrobial resistance is an increasing threat to global health. Evidence for this trend is generated in microbiological laboratories through testing microorganisms for resistance against antimicrobial agents. International standards and guidelines are in place for this process as well as for reporting data on (inter-)national levels. However, there is a gap in the availability of standardized and reproducible tools for working with laboratory data to produce the required reports. It is known that extensive efforts in data cleaning and validation are required when working with data from laboratory information systems. Furthermore, the global spread and relevance of antimicrobial resistance demands to incorporate international reference data in the analysis process. In this paper, we introduce the AMR package for R that aims at closing this gap by providing tools to simplify antimicrobial resistance data cleaning and analysis, while incorporating international guidelines and scientifically reliable reference data. The AMR package enables standardized and reproducible antimicrobial resistance analyses, including the application of evidence-based rules, determination of first isolates, translation of various codes for microorganisms and antimicrobial agents, determination of (multi-drug) resistant microorganisms, and calculation of antimicrobial resistance, prevalence and future trends. The AMR package works independently of any laboratory information system and provides several functions to integrate into international workflows (e.g., WHONET software provided by the World Health Organization) Creator An entity primarily responsible for making the resource Matthijs S. Berends Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v104i03 Publisher An entity responsible for making the resource available University of Groningen Date A point or period of time associated with an event in the lifecycle of the resource September 2022 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 English Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/4b38fd0c79fea82c9ae6a19028d4d73d.pdf 42f3e4e498655d22506efe003fb21efe 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 104 Tahun 2022 Source A related resource from which the described resource is derived https://www.jstatsoft.org/issue/view/v104 Date A point or period of time associated with an event in the lifecycle of the resource 2022 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 English 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 ParMA: Parallelized Bayesian Model Averaging for Generalized Linear Models Subject The topic of the resource : BMA, GLM, RJMCMC, parallelization, gretl Description An account of the resource This paper describes the gretl function package ParMA, which provides Bayesian model averaging (BMA) in generalized linear models. In order to overcome the lack of analytical specification for many of the models covered, the package features an implementation of the reversible jump Markov chain Monte Carlo technique, following the original idea by Green (1995), as a flexible tool to model several specifications. Particular attention is devoted to computational aspects such as the automatization of the model building procedure and the parallelization of the sampling scheme. Creator An entity primarily responsible for making the resource Riccardo (Jack) Lucchetti Source A related resource from which the described resource is derived https://www.jstatsoft.org/article/view/v104i02 Publisher An entity responsible for making the resource available Università Politecnica delle Marche Date A point or period of time associated with an event in the lifecycle of the resource September 2022 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 English Type The nature or genre of the resource Text