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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 HyndmanORCID iD [aut, cre, cph], Jochen EinbeckORCID iD [aut], Matthew WandORCID iD [aut], Simon CarrignonORCID iD [ctb], Fan ChengORCID 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.html ,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,GCEstim,rainbow,RChronoModel,SIBER,truelies
Reverse suggests:condvis,condvis2,smidm

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=hdrcdeto link to this page.


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