The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Provides functions for fitting and validation of models for subgroup identification and personalized medicine / precision medicine under the general subgroup identification framework of Chen et al. (2017) <doi:10.1111/biom.12676>. This package is intended for use for both randomized controlled trials and observational studies and is described in detail in Huling and Yu (2021) <doi:10.18637/jss.v098.i05>.
Version: | 0.2.7 |
Depends: | glmnet (≥ 2.0-13), mgcv, ggplot2, plotly |
Imports: | survival, methods, kernlab, foreach, xgboost |
Suggests: | knitr, rmarkdown, testthat, nnet |
Published: | 2022-06-27 |
DOI: | 10.32614/CRAN.package.personalized |
Author: | Jared Huling [aut, cre], Aaron Potvien [ctb], Alexandros Karatzoglou [cph], Alex Smola [cph] |
Maintainer: | Jared Huling <jaredhuling at gmail.com> |
BugReports: | https://github.com/jaredhuling/personalized/issues |
License: | GPL-2 |
URL: | https://jaredhuling.org/personalized/, https://arxiv.org/abs/1809.07905 |
NeedsCompilation: | no |
Citation: | personalized citation info |
Materials: | README NEWS |
In views: | CausalInference |
CRAN checks: | personalized results |
Package source: | personalized_0.2.7.tar.gz |
Windows binaries: | r-devel: personalized_0.2.7.zip, r-release: personalized_0.2.7.zip, r-oldrel: personalized_0.2.7.zip |
macOS binaries: | r-release (arm64): personalized_0.2.7.tgz, r-oldrel (arm64): personalized_0.2.7.tgz, r-release (x86_64): personalized_0.2.7.tgz, r-oldrel (x86_64): personalized_0.2.7.tgz |
Old sources: | personalized archive |
Reverse depends: | personalized2part |
Please use the canonical form https://CRAN.R-project.org/package=personalized to link to this page.
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.
Health stats visible at Monitor.