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.
To make the semiparametric transformation models easier to apply in real studies, we introduce this R package, in which the MLE in transformation models via an EM algorithm proposed by Zeng D, Lin DY(2007) <doi:10.1111/j.1369-7412.2007.00606.x> and adaptive lasso method in transformation models proposed by Liu XX, Zeng D(2013) <doi:10.1093/biomet/ast029> are implemented. C++ functions are used to compute complex loops. The coefficient vector and cumulative baseline hazard function can be estimated, along with the corresponding standard errors and P values.
| Version: | 0.1.0 |
| Imports: | graphics, Rcpp, statmod, stats, survival |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | MASS |
| Published: | 2021-10-14 |
| DOI: | 10.32614/CRAN.package.transmdl |
| Author: | Fengyu Wen [aut, cre], Baosheng Liang [aut] |
| Maintainer: | Fengyu Wen <Wenfy1207 at qq.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | transmdl results |
| Reference manual: | transmdl.pdf |
| Package source: | transmdl_0.1.0.tar.gz |
| Windows binaries: | r-devel: transmdl_0.1.0.zip, r-release: transmdl_0.1.0.zip, r-oldrel: transmdl_0.1.0.zip |
| macOS binaries: | r-release (arm64): transmdl_0.1.0.tgz, r-oldrel (arm64): transmdl_0.1.0.tgz, r-release (x86_64): transmdl_0.1.0.tgz, r-oldrel (x86_64): transmdl_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=transmdl 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.