hdrcde: Highest Density Regions and Conditional Density Estimation (original) (raw)

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

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