The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
A Bayesian companion to the 'rms' package, 'rmsb' provides Bayesian model fitting, post-fit estimation, and graphics. It implements Bayesian regression models whose fit objects can be processed by 'rms' functions such as 'contrast()', 'summary()', 'Predict()', 'nomogram()', and 'latex()'. The fitting function currently implemented in the package is 'blrm()' for Bayesian logistic binary and ordinal regression with optional clustering, censoring, and departures from the proportional odds assumption using the partial proportional odds model of Peterson and Harrell (1990) <https://www.jstor.org/stable/2347760>.
Version: | 1.1-1 |
Depends: | R (≥ 3.4.0), rms (≥ 6.8-0) |
Imports: | methods, Rcpp (≥ 0.12.0), rstan (≥ 2.26.23), Hmisc (≥ 4.3-0), survival (≥ 3.1-12), ggplot2, MASS, cluster, digest, knitr, loo |
LinkingTo: | BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0) |
Suggests: | cmdstanr, bayesplot, mice |
Published: | 2024-07-08 |
DOI: | 10.32614/CRAN.package.rmsb |
Author: | Frank Harrell |
Maintainer: | Frank Harrell <fh at fharrell.com> |
License: | GPL (≥ 3) |
URL: | https://hbiostat.org/R/rmsb/ |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Additional_repositories: | https://mc-stan.org/r-packages/ |
Materials: | README NEWS |
CRAN checks: | rmsb results |
Reference manual: | rmsb.pdf |
Package source: | rmsb_1.1-1.tar.gz |
Windows binaries: | r-devel: rmsb_1.1-1.zip, r-release: rmsb_1.1-1.zip, r-oldrel: rmsb_1.1-1.zip |
macOS binaries: | r-release (arm64): rmsb_1.1-1.tgz, r-oldrel (arm64): rmsb_1.1-1.tgz, r-release (x86_64): rmsb_1.1-1.tgz, r-oldrel (x86_64): rmsb_1.1-1.tgz |
Old sources: | rmsb archive |
Reverse suggests: | rms |
Please use the canonical form https://CRAN.R-project.org/package=rmsb to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.