survivalMPLdc
:
Penalised Likelihood for Survival Analysis with Dependent CensoringThe survivalMPLdc
package provides the estimating and
plotting function for the Cox hazard models under dependent right
censoring using maximum penalised likelihood method Xu et al
(2018).
The survivalMPLdc
currently only supports proportional
hazard models. The future work can extend the proposed method to other
semi-parametric hazard model, i.e. the accelerate failure or additive
hazard models. Other type of censoring, i.e. interval censoring and even
time-dependent covariates can be considered.
The survivalMPLdc
package can be installed from
CRAN
.
("survivalMPLdc")
install.packages("survivalMPLdc") library
You can use the devtools package to install the development version
of survivalMPLdc
from GitHub:
# install.packages("devtools")
devtools::install_github("Kenny-Jing-Xu/survivalMPLdc")
(survivalMPLdc) library
A reference manual is available at kenny-jing-xu.github.io/survivalMPLdc.
Xu, J., Ma, J. and Fung, T. (2020). survivalMPLdc: Survival Analysis under Dependent Right Censoring using Maximum Penalised Likelihood. R package version 0.1.1.