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transmdl  

Semiparametric Transformation Models
View on CRAN: Click here


Download and install transmdl package within the R console
Install from CRAN:
install.packages("transmdl")

Install from Github:
library("remotes")
install_github("cran/transmdl")

Install by package version:
library("remotes")
install_version("transmdl", "0.1.0")



Attach the package and use:
library("transmdl")
Maintained by
Fengyu Wen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-14
Latest Update: 2021-10-14
Description:
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.
How to cite:
Fengyu Wen (2021). transmdl: Semiparametric Transformation Models. R package version 0.1.0, https://cran.r-project.org/web/packages/transmdl. Accessed 15 Jul. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for transmdl
Functions, R codes and Examples using the transmdl R package
Some associated functions: EM_est . generate_data . trans_alasso . trans_m . 
Some associated R codes: EM_est.R . RcppExports.R . generate_data.R . trans_alasso.R . trans_m.R . transmdl-package.R .  Full transmdl package functions and examples
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