OasisR: An R Package to Bring Some Order to the World of Segregation Measurement
Mihai Tivadar ·Computer Science
bsamGP: An R Package for Bayesian Spectral Analysis Models Using Gaussian Process Priors
Seongil Jo · Taeryon Choi · Beomjo Park · Peter J. Lenk ·Computer Science
Fuzzy Forests: Extending Random Forest Feature Selection for Correlated, High-Dimensional Data
Daniel Conn · Tuck C. Ngun · Gang Li · Christina M. Ramirez ·Computer Science
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 GrÃ¼n, Edzer Pebesma, and Torsten Hothorn. It is published by the Foundation for Open Access Statistics. The journal charges no author fees or subscription fees.