|laGP: Large-Scale Spatial Modeling via Local Approximate Gaussian Processes in R|
|Robert B. Gramacy|
|Bayesian Nonparametric Mixture Estimation for Time-Indexed Functional Data in R|
|Terrance D. Savitsky|
|Analyzing State Sequences with Probabilistic Suffix Trees: The PST R Package|
|Alexis Gabadinho, Gilbert Ritschard|
|Mixed Frequency Data Sampling Regression Models: The R Package midasr|
|Eric Ghysels, Virmantas Kvedaras, Vaidotas Zemlys|
|Multivariate Dose-Response Meta-Analysis: The dosresmeta R Package|
|Alessio Crippa, Nicola Orsini|
|Mixture Experiments in R Using mixexp|
|John Lawson, Cameron Willden|
|Spatial Microsimulation with R|
|Ezra Haber Glenn|
Established in 1996, the Journal of Statistical Software publishes articles, book reviews, code snippets, and software reviews on the subject of statistical software and algorithms. The contents are freely available on-line. For both articles and code snippets the source code is published along with the paper. Statistical software is the key link between statistical methods and their application in practice. Software that makes this link is the province of the journal, and may be realized as, for instance, tools for large scale computing, database technology, desktop computing, distributed systems, the World Wide Web, reproducible research, archiving and documentation, and embedded systems. We attempt to present research that demonstrates the joint evolution of computational and statistical methods and techniques. Implementations can use languages such as C, C++, S, Fortran, Java, PHP, Python and Ruby or environments such as Mathematica, MATLAB, R, S-PLUS, SAS, Stata, and XLISP-STAT.
|New JSS server|
|The Journal of Statistical Software moved to a new server based on Open Journal Systems (OJS, http://pkp.sfu.ca/ojs/) which not only hosts published software/manuscripts but also provides a full editorial system. Thus, all submissions, reviews, etc. can now be made through the new OJS system.
|DOIs for JSS publications|
|The Journal of Statistical Software now provides DOIs (digital object identifiers, http://www.doi.org/) for its publications. For example, doi:10.18637/jss.v063.i01 refers to the introduction to the recent special volume on software for spatial statistics. The DOIs for past publications are listed on the respective web page. Future publications (starting from Volume 67) will also show the DOIs in the PDF manuscripts - and also provide DOIs for the references cited in the manuscripts.
|Special Volume 63|
|Special volume 63 on Software for Spatial Statistics, Editors: Edzer Pebesma, Roger Bivand and Paulo Justiano Ribeiro is now available.|
|Special Volume 60|
|Special volume 60 on Optimization, Editor: Ravi Varadhan is now available.|
|As a matter of principle, JSS charges no author fees or subscription fees. Our editors, reviewers, and programmers are volunteers. UCLA Statistics and Universität Innsbruck contribute support staff, website maintenance, website hosting, and some graduate student support. Because of our success and growth we do need more resources in the future. You can support us by becoming a member of the Foundation for Open Access Statistics at www.foastat.org, and by contributing on their donation page.|