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 |
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Depends: | R (≥ 2.15) |
Imports: | locfit, ash, ks, KernSmooth, ggplot2, RColorBrewer |
Published: | 2021-01-18 |
DOI: | 10.32614/CRAN.package.hdrcde |
Author: | Rob Hyndman [aut, cre, cph], Jochen Einbeck [aut], Matthew Wand [aut], Simon Carrignon [ctb], Fan Cheng [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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