# 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")
```