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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 |
| 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 |
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