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
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.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

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