r-cran-rms 4.4-0-1 source package in Ubuntu
Changelog
r-cran-rms (4.4-0-1) unstable; urgency=low * New upstream release * debian/control: Set Build-Depends: to current R version -- Dirk Eddelbuettel <email address hidden> Tue, 29 Sep 2015 21:54:26 -0500
Upload details
- Uploaded by:
- Dirk Eddelbuettel
- Uploaded to:
- Sid
- Original maintainer:
- Dirk Eddelbuettel
- Architectures:
- any
- Section:
- gnu-r
- Urgency:
- Low Urgency
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-cran-rms_4.4-0-1.dsc | 1.9 KiB | 8dc82268f09e02ad4a078eb84ec8c7021f04fdc23cf57bd827f34addc5bc198a |
| r-cran-rms_4.4-0.orig.tar.gz | 460.0 KiB | 66a4e7bb0fc855b064f39d3d8ecce8e4ffe1f3a35a40130fe656207f015cf1b3 |
| r-cran-rms_4.4-0-1.diff.gz | 3.6 KiB | dc94da07ace88059cbab7cc1180261524cda64c63c18f75941ae9508cfd30ad5 |
Available diffs
- diff from 4.3-1-1 to 4.4-0-1 (45.9 KiB)
No changes file available.
Binary packages built by this source
- r-cran-rms: GNU R regression modeling strategies by Frank Harrell
Regression modeling, testing, estimation, validation, graphics,
prediction, and typesetting by storing enhanced model design
attributes in the fit. rms is a collection of 229 functions that
assist with and streamline modeling. It also contains functions for
binary and ordinal logistic regression models 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 logistic
regression, 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.
.
See Frank Harrell (2001), Regression Modeling Strategies, Springer
Series in Statistics, as well as http://biostat. mc.vanderbilt. edu/Rrms.
- r-cran-rms-dbgsym: debug symbols for package r-cran-rms
Regression modeling, testing, estimation, validation, graphics,
prediction, and typesetting by storing enhanced model design
attributes in the fit. rms is a collection of 229 functions that
assist with and streamline modeling. It also contains functions for
binary and ordinal logistic regression models 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 logistic
regression, 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.
.
See Frank Harrell (2001), Regression Modeling Strategies, Springer
Series in Statistics, as well as http://biostat. mc.vanderbilt. edu/Rrms.
