Package: RLT Type: Package Title: Reinforcement Learning Trees Version: 6.1.1 Date: 2026-07-02 Authors@R: c( person("Ruoqing", "Zhu", , "teazrq@gmail.com", role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-0753-5716")), person("Sarah", "Formentini", , "sarahef2@illinois.edu", role = "aut"), person("Haowen", "Zhou", , "pja9pw@virginia.edu", role = "ctb"), person("Tianning", "Xu", , "tx8@illinois.edu", role = "ctb"), person("Zhechao", "Huang", , "huangzhechao1995@gmail.com", role = "ctb") ) Description: Random forest with a variety of additional features for regression, classification, and survival analysis. Features include parallel computing with OpenMP, reproducibility with random seeds, variance and confidence band estimations using U-statistics, embedded model for selecting splitting variables and constructing linear combination splits, permutation and distribution-based variable importance, observation and variable weights, and subject tracking across trees. Author: Ruoqing Zhu [aut, cre, cph] (), Sarah Formentini [aut], Haowen Zhou [ctb], Tianning Xu [ctb], Zhechao Huang [ctb] Suggests: testthat, knitr, rmarkdown, mgcv VignetteBuilder: knitr License: GPL (>= 3) Encoding: UTF-8 Imports: Rcpp (>= 1.0.9), stats LinkingTo: Rcpp, RcppArmadillo, dqrng, BH, sitmo BugReports: https://github.com/teazrq/RLT/issues URL: https://github.com/teazrq/RLT, https://teazrq.github.io/RLT/ Roxygen: list(markdown = TRUE) RoxygenNote: 8.0.0 Repository: https://teazrq.r-universe.dev Date/Publication: 2026-07-02 15:51:24 UTC RemoteUrl: https://github.com/teazrq/rlt RemoteRef: HEAD RemoteSha: b86125e332979d8dc8ddb1c3203b6b81fd822262 NeedsCompilation: yes Packaged: 2026-07-02 17:02:06 UTC; root Maintainer: Ruoqing Zhu