`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.

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