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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 |
| 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 |
Documentation:
Downloads:
Reverse dependencies:
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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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