Established in 1996, the Journal of Statistical Software publishes
articles on statistical software along with the source code of the
software itself and replication code for all empirical results.
Furthermore, shorter code snippets are published as well as book reviews
and software reviews. All contents are freely available online under
open licenses. We aim to present research that demonstrates the joint
evolution of computational and statistical methods and facilitates their
application in practice. Implementations can use languages and
environments like R, Python, Julia, MATLAB, SAS, Stata, C, C++, Fortran,
among others. See our mission statement for more
details.