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