hdrcde: Highest density regions and conditional density estimation

Computation of highest density regions in one and two dimensions, kernel estimation of univariate density functions conditional on one covariate, and multimodal regression.

Version: 3.1
Depends: R (≥ 2.15), mvtnorm
Imports: locfit, ash, ks, KernSmooth
Published: 2013-10-19
Author: Rob J Hyndman with contributions from Jochen Einbeck and Matt Wand
Maintainer: Rob J Hyndman <Rob.Hyndman at monash.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://www.robjhyndman.com/software/hdrcde
NeedsCompilation: yes
Materials: ChangeLog
CRAN checks: hdrcde results


Reference manual: hdrcde.pdf
Package source: hdrcde_3.1.tar.gz
Windows binaries: r-devel: hdrcde_3.1.zip, r-release: hdrcde_3.1.zip, r-oldrel: hdrcde_3.1.zip
OS X Mavericks binaries: r-release: hdrcde_3.1.tgz, r-oldrel: hdrcde_3.1.tgz
Old sources: hdrcde archive

Reverse dependencies:

Reverse depends: siar, SimpleTable
Reverse imports: Bchron, Bclim, curvHDR, rainbow, RChronoModel, SIBER
Reverse suggests: condvis