# MLEcens

Computation of the MLE for Bivariate Interval Censored Data

We provide functions to compute the nonparametric maximum likelihood estimator (MLE) for the bivariate distribution of (X,Y), when realizations of (X,Y) cannot be observed directly. To be more precise, we consider the situation where we observe a set of rectangles in R^2 that are known to contain the unobservable realizations of (X,Y). We compute the MLE based on such a set of rectangles. The methods can also be used for univariate censored data (see data set 'cosmesis'), and for censored data with competing risks (see data set 'menopause'). We also provide functions to visualize the observed data and the MLE.

- Version0.1-7
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/18/2022

## Documentation

## Team

### Marloes Maathuis

## Insights

### Last 30 days

### Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by cranlogs

## Binaries

## Dependencies

- Reverse Depends1 package
- Reverse Imports1 package
- Reverse Suggests1 package