TransModel: An R Package for Linear Transformation Model with Censored Data
Dublin Core
Title
TransModel: An R Package for Linear Transformation Model with Censored Data
Subject
transformation model, right censored data, R package.
Description
Linear transformation models, including the proportional hazards model and proportional odds model, under right censoring were discussed by Chen, Jin, and Ying (2002).
The asymptotic variance of the estimator they proposed has a closed form and can be
obtained easily by plug-in rules, which improves the computational efficiency. We develop
an R package TransModel based on Chen’s approach. The detailed usage of the package
is discussed, and the function is applied to the Veterans’ Administration lung cancer data
The asymptotic variance of the estimator they proposed has a closed form and can be
obtained easily by plug-in rules, which improves the computational efficiency. We develop
an R package TransModel based on Chen’s approach. The detailed usage of the package
is discussed, and the function is applied to the Veterans’ Administration lung cancer data
Creator
Jie Zhou
Source
https://www.jstatsoft.org/article/view/v101i09
Publisher
University of
South Carolina
South Carolina
Date
January 2022
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Jie Zhou, “TransModel: An R Package for Linear Transformation Model with Censored Data,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8243.