Published May 11, 2010 | https://doi.org/10.59350/y8htj-pb744

R Package 'rms' for Regression Modeling

Creators & Contributors

If you attended Frank Harrell's Regression Modeling Strategies course a few weeks ago, you got a chance to see the rms package for R in action. Frank's rms package does regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a re-written version of the Design package that has improved graphics and duplicates very little code in the survival package.

First install the rms package:

install.packages("rms")

Next, load the package:
library(rms)

Finally, run this command to get very extensive documentation of many of the features in the rms package:
?rmsOverview

You can also get a walk-through consisting of several example uses of functions in the rms package for modeling and graphics.
example(rmsOverview)

Additional details

Description

If you attended Frank Harrell's Regression Modeling Strategies course a few weeks ago, you got a chance to see the rms package for R in action. Frank's rms package does regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit.

Identifiers

UUID
8866acc7-a972-4ee8-be0b-7b87019e7078
GUID
tag:blogger.com,1999:blog-6232819486261696035.post-4046384749331527889
URL
https://gettinggeneticsdone.blogspot.com/2010/05/r-package-rms-for-regression-modeling.html

Dates

Issued
2010-05-11T15:21:00
Updated
2010-05-11T15:21:42