hdrcde (3.1)

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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.

Maintainer: Rob J Hyndman
Author(s): Rob J Hyndman <Rob.Hyndman@monash.edu> with contributions from Jochen Einbeck and Matt Wand

License: GPL (>= 2)

Uses: ash, KernSmooth, ks, locfit, mvtnorm
Reverse depends: Bchron, Bclim, CPGchron, curvHDR, rainbow, siar, SimpleTable, sisus
Reverse suggests: condvis, meboot

Released almost 4 years ago.

10 previous versions



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