hdrcde v3.3

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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.

Readme

hdrcde: Highest Density Regions and Conditional Density Estimation

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The R package hdrcde provides tools for computing highest density regions in one and two dimensions, kernel estimates of univariate density functions conditional on one covariate, and multimodal regression.

Author: Rob J Hyndman with contributions from Jochen Einbeck and Matt Wand

This package implements the methods described in the following papers.

Installation

You can install the stable version on R CRAN.

install.packages('hdrcde', dependencies = TRUE)

You can install the development version from Github

# install.packages("devtools")
devtools::install_github("robjhyndman/hdrcde")

License

This package is free and open source software, licensed under GPL 3.

Functions in hdrcde

Name Description
plot.hdrconf Plot HDRs with confidence intervals
hdrbw Highest Density Region Bandwidth
hdrconf HDRs with confidence intervals
maxtemp Daily maximum temperatures in Melbourne, Australia
modalreg Nonparametric Multimodal Regression
cde.bandwidths Bandwidth calculation for conditional density estimation
hdr Highest Density Regions
hdrscatterplot Scatterplot showing bivariate highest density regions
lane2 Speed-Flow data for Californian Freeway
BoxCox Box Cox Transformation
cde Conditional Density Estimation
hdr.2d Bivariate Highest Density Regions
hdr.cde Calculate highest density regions continously over some conditioned variable.
plot.cde Plots conditional densities
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Details

Type Package
BugReports https://github.com/robjhyndman/hdrcde/issues
LazyData yes
LazyLoad yes
License GPL-3
URL http://pkg.robjhyndman.com/hdrcde, https://github.com/robjhyndman/hdrcde
RoxygenNote 6.1.1
Encoding UTF-8
NeedsCompilation yes
Packaged 2018-12-21 05:10:31 UTC; hyndman
Repository CRAN
Date/Publication 2018-12-21 14:50:06 UTC

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