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transmdl: Semiparametric Transformation Models

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

Documentation:

Reference manual:transmdl.html ,transmdl.pdf

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=transmdlto link to this page.


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