Package: rms Version: 8.1-2 Date: 2026-06-14 Title: Regression Modeling Strategies Authors@R: person(given = c("Frank E"), family = "Harrell Jr", role = c("aut", "cre"), email = "fh@fharrell.com") Depends: R (>= 4.4.0), Hmisc (>= 5.2-5) Imports: methods, survival, quantreg, ggplot2, Matrix, SparseM, rpart, nlme (>= 3.1-123), polspline, multcomp, htmlTable (>= 1.11.0), htmltools, MASS, cluster, digest, colorspace, knitr, grDevices, scales Suggests: boot, tcltk, plotly (>= 4.5.6), mice, icenReg, rmsb, nnet, VGAM, lattice, kableExtra Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. 'rms' is a collection of functions that assist with and streamline modeling. It also contains functions for binary and ordinal logistic regression models, ordinal models for continuous Y with a variety of distribution families, and the Buckley-James multiple regression model for right-censored responses, and implements penalized maximum likelihood estimation for logistic and ordinary linear models. 'rms' works with almost any regression model, but it was especially written to work with binary or ordinal regression models, Cox regression, accelerated failure time models, ordinary linear models, the Buckley-James model, generalized least squares for serially or spatially correlated observations, generalized linear models, and quantile regression. License: GPL (>= 2) URL: https://hbiostat.org/R/rms/, https://github.com/harrelfe/rms LazyLoad: yes Config/roxygen2/version: 8.0.0 Config/pak/sysreqs: cmake make libicu-dev libuv1-dev Repository: https://harrelfe.r-universe.dev Date/Publication: 2026-06-17 22:43:02 UTC RemoteUrl: https://github.com/harrelfe/rms RemoteRef: HEAD RemoteSha: 37ff47381a3b320b8d20710a9b18fc6d3268f30b NeedsCompilation: yes Packaged: 2026-06-24 11:23:53 UTC; root Author: Frank E Harrell Jr [aut, cre] Maintainer: Frank E Harrell Jr