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transmdl (version 0.1.0)

Semiparametric Transformation Models

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) and adaptive lasso method in transformation models proposed by Liu XX, Zeng D(2013) 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.

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Version

Install

install.packages('transmdl')

Monthly Downloads

218

Version

0.1.0

License

GPL (>= 2)

Maintainer

Fengyu Wen

Last Published

October 14th, 2021

Functions in transmdl (0.1.0)

EM_est

Estimate parameters and hazard function via EM algorithm.
trans_alasso

Adaptive LASSO for Semiparametric Transformation Models.
trans_m

Regression Analysis of Right-censored Data using Semiparametric Transformation Models.
generate_data

Generate data for simulation.