# survidm: Inference and Prediction in an Illness-Death Model

`survidm`

is an R package which introduces newly developed methods for the estimation of several probabilities in an illness-death model. The package can be used to obtain nonparametric and semiparametric estimates for: transition probabilities, occupation probabilities, cumulative incidence function and the sojourn time distributions. Additionally, it is possible to fit proportional hazards regression models in each transition of the Illness-Death Model. Several auxiliary functions are also provided which can be used for marginal estimation of the survival functions.

## Installation

`survidm`

is available through both CRAN and GitHub.

Get the released version from CRAN:

`install.packages("survidm")`

Or the development version from GitHub:

```
# install.packages("devtools")
devtools::install_github("sestelo/survidm")
```