The R package *hdrcde* provides tools for computing highest
density regions in one and two dimensions, kernel estimates of
univariate density functions conditional on one covariate, and
multimodal regression.

This package implements the methods described in the following papers.

- Rob
J Hyndman (1996) “Computing and graphing highest density regions”.
*American Statistician*,**50**, 120-126. - Rob
J Hyndman and David Bashtannyk (1996) “Estimating and visualizing
conditional densities”.
*Journal of Computational and Graphical Statistics*,**5**, 315-336. - David
Bashtannyk, Rob J Hyndman (2001) “Bandwidth selection for kernel
conditional density estimation”.
*Computational Statistics and Data Analysis***36**(3), 279-298. - Rob
J Hyndman and Qiwei Yao (2002) “Nonparametric estimation and symmetry
tests for conditional density functions”.
*Journal of Nonparametric Statistics*,**14**(3), 259-278. - Einbeck,
J., and Tutz, G. (2006). “Modelling beyond regression functions: an
application of multimodal regression to speed-flow data”.
*Journal of the Royal Statistical Society, Series C*,**55**, 461-475. - Richard J Samworth and
Matthew P Wand (2010) “Asymptotics and optimal bandwidth selection for
highest density region estimation”.
*The Annals of Statistics*,**38**, 1767-1792.

You can install the **stable** version on R CRAN.

`install.packages('hdrcde', dependencies = TRUE)`

You can install the **development** version from Github

```
# install.packages("devtools")
::install_github("robjhyndman/hdrcde") devtools
```

This package is free and open source software, licensed under GPL 3.