The R Journal (December 2019) 11(2): Complete Issue
2019
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Editorial, Michael J. KaneContributed Research ArticlesUsing Web Services to Work with Geodata in R, Jan-Philipp KolborthoDr: Semiparametric Dimension Reduction via Orthogonality Constrained Optimization, Ruoqing Zhu, Jiyang Zhang, Ruilin Zhao, Peng Xu, Wenzhuo Zhou, and Xin Zhangcoxed: An R Package for Computing Duration-Based Quantities from the Cox Proportional Hazards Model, Jonathan Kropko and Jeffrey J. HardenModeling Regimes with Extremes: The Bayesdfa Package for Identifying and Forecasting Common Trends and Anomalies in Multivariate Time-Series Data, Eric J. Ward, Sean C. Anderson, Luis A. Damiano, Mary E. Hunsicker, and Michael A. LitzowFitting Tails by the Empirical Residual Coefficient of Variation: The ercv Package, Joan del Castillo, Isabel Serra, Maria Padilla, and David Moriñabiclustermd: An R Package for Biclustering with Missing Values, John Reisner, Hieu Pham, Sigurdur Olafsson, Stephen Vardeman, and Jing Liauditor: An R Package for Model-Agnostic Visual Validation and Diagnostics, Alicja Gosiewska and Przemysław BiecekThe R Package trafo for Transforming Linear Regression Models, Lily Medina, Ann-Kristin Kreutzmann, Natalia Rojas-Perilla, and Piedad CastroBondValuation: An R Package for Fixed Coupon Bond Analysis, Wadim DjatschenkoConvergenceClubs: A Package for Performing the Phillips and Sul's Club Convergence Clustering Procedure, Roberto Sichera and Pietro PizzutoPPCI: An R Package for Cluster Identification using Projection Pursuit, David P. Hofmeyr and Nicos G. Pavlidisdr4pl: A Stable Convergence Algorithm for the 4 Parameter Logistic Model, Hyowon An, Justin T. Landis, Aubrey G. Bailey, James S. Marron, and Dirk P. Dittmercvcrand: A Package for Covariate-constrained Randomization and the Clustered Permutation Test for Cluster Randomized Trials, Hengshi Yu, Fan Li, John A. Gallis, and Elizabeth L. Turnerjomo: A Flexible Package for Two-level Joint Modelling Multiple Imputation, Matteo Quartagno, Simon Grund, and James CarpenterTime Series Forecasting with KNN in R: The tsfknn Package, Francisco Martínez, María P. Frías, Francisco Charte, and Antonio J. Riverarollmatch: An R Package for Rolling Entry Matching, Kasey Jones, Rob Chew, Allison Witman, and Yiyan LiuAssociative Classification in R: arc, arulesCBA, and rCBA, Michael Hahsler, Ian Johnson, Tomáš Kliegr, and Jaroslav Kuchařroahd Package: Robust Analysis of High Dimensional Data, Francesca Ieva, Anna Maria Paganoni, Juan Romo, and Nicholas TarabelloniThe IDSpatialStats R Package: Quantifying Spatial Dependence of Infectious Disease Spread, John R. Giles, Henrik Salje, and Justin LesslerComparing namedCapture with Other R Packages for Regular Expressions, Toby Dylan HockingThe Landscape of R Packages for Automated Exploratory Data Analysis, Mateusz Staniak and Przemysław BiecekHCmodelSets: An R Package for Specifying Sets of Well-fitting Models in High Dimensions, Henrique Hoeltgebaum and Heather BatteyResampling-Based Analysis of Multivariate Data and Repeated Measures Designs with the R Package MANOVA.RM, Sarah Friedrich, Frank Konietschke, and Markus PaulyspGARCH: An R-Package for Spatial and Spatiotemporal ARCH and GARCH models, Philipp Ottolpirfs: An R Package to Estimate Impulse Response Functions by Local Projections, Philipp AdämmerNews and NotesConference: Report ConectaR 2019, Marcela Alfaro Córdoba, Frans van Dunné, Agustín Gómez Meléndez, and Jacob van EttenR Foundation News, Torsten HothornChanges on CRAN, Kurt Hornik, Uwe Ligges and Achim ZeileisNews from the Bioconductor Project, Bioconductor Core TeamR News, R Core Team
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know