Journal of Statistical Software
Research Hotspot & Research Scope
OasisR: An R Package to Bring Some Order to the World of Segregation Measurement
Mihai Tivadar ·
Computer ScienceFlexible Regression Models for Count Data Based on Renewal Processes: The Countr Package
Tarak Kharrat · Georgi N. Boshnakov · Ian G. McHale · Rose Baker ·
Computer ScienceBTLLasso: A Common Framework and Software Package for the Inclusion and Selection of Covariates in Bradley-Terry Models
Gunther Schauberger · Gerhard Tutz ·
Computer SciencebsamGP: An R Package for Bayesian Spectral Analysis Models Using Gaussian Process Priors
Seongil Jo · Taeryon Choi · Beomjo Park · Peter J. Lenk ·
Computer ScienceMultivariate Locally Stationary Wavelet Analysis with the mvLSW R Package
Simon A. C. Taylor · Timothy Park · Idris A. Eckley ·
Computer SciencePsychological Test Toolbox: A New Tool to Compute Factor Analysis Controlling Response Bias
David Navarro-González · Andreu Vigil-Colet · Pere J. Ferrando · Urbano Lorenzo-Seva ·
Computer ScienceFuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data
Daniel Conn · Tuck C. Ngun · Gang Li · Christina M. Ramirez ·
Computer ScienceFlexible Regression Models for Count Data Based on Renewal Processes: The Countr Package
Tarak Kharrat · Georgi N. Boshnakov · Ian G. McHale · Rose Baker ·
Computer SciencedataMaid: Your Assistant for Documenting Supervised Data Quality Screening in R
Anne Helby Petersen · Claus Thorn Ekstrøm ·
Computer ScienceStructOpt is modular in its construction and therefore is naturally extensible to include new materials simulation modules or new optimization methods, either written by the user or existing in other code packages.
A comprehensive assessment of the package shape could be obtained using a method of weighted index.
One generates the line segments by data convex analysis, and the other one is based on the transformed space, which can be extended to a general model.
Therefore it is necessary to do an analysis related to traffic with the aim to find out the optimum time of green light, vehicle capacity and degree of saturation.
A standardised dataset was developed to collect detailed clinical data on the maternal, infant and clinical characteristics associated with TH.
It incorporates machine learning and big data technologies, to allow machine-to-machine communication that have existed for years in the industrial world.
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The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics. The Journal of Statistical Software is a peer-reviewed open-access scientific journal that publishes papers related to statistical software. The Journal of Statistical Software was founded in 1996 by Jan de Leeuw of the Department of Statistics at the University of California, Los Angeles. Its current editors-in-chief are Achim Zeileis, Bettina Grün, Edzer Pebesma, and Torsten Hothorn. It is published by the Foundation for Open Access Statistics. The journal charges no author fees or subscription fees.