RPCLR-package: Implements the R-PCLR algorithm to calculate variable...
In RPCLR: RPCLR (Random-Penalized Conditional Logistic Regression)
Description
Details
Author(s)
References
Description
The R-PCLR algorithm can be used to estimate variable importance
in settings of high dimensional data arising from matched case-control studies.
The algorithm accounts for the correlation between observations belonging to the same matched stratum, while incorporating some of the powerful features of Random Forests for evaluating the significance of high dimensional feature sets.
Details
Package: RPCLR
Type: Package
Version: 1.0
Date: 2012-08-19
License: GPL 2.0
LazyLoad: yes
Author(s)
Raji Balasubramanian
Maintainer: Raji Balasubramanian <rbalasub@schoolph.umass.edu>
References
Balasubramanian, R., Houseman, E. A., Coull, B. A., Lev, M. H., Schwamm, L. H., Betensky, R. A. (2012). Variable importance in matched case-control studies in settings of high dimensional data, Submitted to Biostatistics.
RPCLR documentation built on May 2, 2019, 11:26 a.m.
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Description Details Author(s) References
Description
The R-PCLR algorithm can be used to estimate variable importance in settings of high dimensional data arising from matched case-control studies. The algorithm accounts for the correlation between observations belonging to the same matched stratum, while incorporating some of the powerful features of Random Forests for evaluating the significance of high dimensional feature sets.
Details
| Package: | RPCLR |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2012-08-19 |
| License: | GPL 2.0 |
| LazyLoad: | yes |
Author(s)
Raji Balasubramanian
Maintainer: Raji Balasubramanian <rbalasub@schoolph.umass.edu>
References
Balasubramanian, R., Houseman, E. A., Coull, B. A., Lev, M. H., Schwamm, L. H., Betensky, R. A. (2012). Variable importance in matched case-control studies in settings of high dimensional data, Submitted to Biostatistics.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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