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: 3.2
Depends: R (≥ 2.15)
Imports: locfit, ash, ks, KernSmooth, ggplot2, RColorBrewer
Published: 2018-01-29
Author: Rob Hyndman [aut, cre, cph], Jochen Einbeck [ctb], Matthew Wand [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman at monash.edu>
BugReports: https://github.com/robjhyndman/hdrcde/issues
License: GPL-3
URL: http://pkg.robjhyndman.com/hdrcde, https://github.com/robjhyndman/hdrcde
NeedsCompilation: yes
Citation: hdrcde citation info
Materials: README NEWS
CRAN checks: hdrcde results


Reference manual: hdrcde.pdf
Package source: hdrcde_3.2.tar.gz
Windows binaries: r-devel: hdrcde_3.2.zip, r-release: hdrcde_3.2.zip, r-oldrel: hdrcde_3.2.zip
OS X El Capitan binaries: r-release: hdrcde_3.2.tgz
OS X Mavericks binaries: r-oldrel: hdrcde_3.1.tgz
Old sources: hdrcde archive

Reverse dependencies:

Reverse depends: ArchaeoPhases, siar, SimpleTable
Reverse imports: curvHDR, rainbow, RChronoModel, SIBER, tRophicPosition
Reverse suggests: condvis


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