The R Journal: article published in 2018, volume 10:2

rcss: R package for optimal convex stochastic switching
Juri Hinz and Jeremy Yee , The R Journal (2018) 10:2, pages 38-54.

Abstract The R package rcss provides users with a tool to approximate the value functions in the Bellman recursion under certain assumptions that guarantee desirable convergence properties. This R package represents the first software implementation of these methods using matrices and nearest neighbors. This package also employs a pathwise dynamic method to gauge the quality of these value function approximations. Statistical analysis can be performed on the results to obtain other useful practical insights. This paper describes rcss version 1.6.

Received: 2017-04-27; online 2018-12-08, supplementary material, (1.8 KiB)
CRAN packages: rcss, Rcpp, OpenMp
CRAN Task Views implied by cited CRAN packages: HighPerformanceComputing, NumericalMathematics

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2018-054,
  author = {Juri Hinz and Jeremy Yee},
  title = {{rcss: R package for optimal convex stochastic switching}},
  year = {2018},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2018-054},
  url = {https://doi.org/10.32614/RJ-2018-054},
  pages = {38--54},
  volume = {10},
  number = {2}
}