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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.
install.packages("survivalMPLdc")
library("survivalMPLdc")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")
library(survivalMPLdc)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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.