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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: 3.4
Depends: R (≥ 2.15)
Imports: locfit, ash, ks, KernSmooth, ggplot2, RColorBrewer
Published: 2021-01-18
DOI: 10.32614/CRAN.package.hdrcde
Author: Rob Hyndman ORCID iD [aut, cre, cph], Jochen Einbeck ORCID iD [aut], Matthew Wand ORCID iD [aut], Simon Carrignon ORCID iD [ctb], Fan Cheng ORCID iD [ctb]
Maintainer: Rob Hyndman <Rob.Hyndman at monash.edu>
BugReports: https://github.com/robjhyndman/hdrcde/issues
License: GPL-3
URL: https://pkg.robjhyndman.com/hdrcde/, https://github.com/robjhyndman/hdrcde
NeedsCompilation: yes
Citation: hdrcde citation info
Materials: README NEWS
CRAN checks: hdrcde results

Documentation:

Reference manual: hdrcde.pdf

Downloads:

Package source: hdrcde_3.4.tar.gz
Windows binaries: r-devel: hdrcde_3.4.zip, r-release: hdrcde_3.4.zip, r-oldrel: hdrcde_3.4.zip
macOS binaries: r-release (arm64): hdrcde_3.4.tgz, r-oldrel (arm64): hdrcde_3.4.tgz, r-release (x86_64): hdrcde_3.4.tgz, r-oldrel (x86_64): hdrcde_3.4.tgz
Old sources: hdrcde archive

Reverse dependencies:

Reverse depends: meboot
Reverse imports: curvHDR, rainbow, RChronoModel, RFpredInterval, SIBER, truelies
Reverse suggests: condvis, condvis2, smidm

Linking:

Please use the canonical form https://CRAN.R-project.org/package=hdrcde to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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