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.
rms
Regression Modeling Strategies
Current Goals
- Implement estimation and prediction methods for the Bayesian partial
proportional odds model
blrm
function
Web Sites
- Overall: http://hbiostat.org/R/rms/
- Book: http://hbiostat.org/rms/
- CRAN: http://cran.r-project.org/web/packages/rms/
- Changelog: https://github.com/harrelfe/rms/commits/master/
To Do
- Fix survplot so that explicitly named adjust-to values are still in
subtitles. See tests/cph2.s.
- Fix fit.mult.impute to average sigma^2 and then take square root,
instead of averaging sigma
- Implement user-added distributions in psm - see
https://github.com/harrelfe/rms/issues/41
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.