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 |
Author: | Rob Hyndman |
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 |
Reference manual: | hdrcde.pdf |
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 depends: | ArchaeoPhases, meboot |
Reverse imports: | curvHDR, gghdr, rainbow, RChronoModel, RFpredInterval, SIBER, tRophicPosition, truelies |
Reverse suggests: | condvis, condvis2, piRF, smidm |
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