Version 3.4

• Bug fixes and documentation updates
• Added labels to hdrscatterplot (thanks to Fan Cheng)

Version 3.3

• More options for hdr.boxplot (thanks to Simon Carrignon)
• More flexible hdr.den plots (thanks to Simon Carrignon)
• Fixed colours in hdrscatterplot

Version 3.2

• Updated hdr.den() to demonstrate the calculation of hdr more clearly (thanks to Dennis Freuer for the suggestion)
• Added hdrscatterplot() function
• Roxygenized the package
• Added pkgdown site

Version 3.1

• Added dependency on mvtnorm to avoid problems with ks.

Version 3.0

• Reduced dependency on KernSmooth and changed ::: calls to ::
• New functions hdr.2d() and plot.hdr2d() to return and plot bivariate HDR information.
• Rewritten hdr.boxplot.2d() function.

Version 2.16

• Replaced .Internal() calls with new .filled.contour() function.

Version 2.15

• Added option to control limits of density estimate in hdr.boxplot.2d()

Version 2.14

• Updated references for hdrbw().

Version 2.13

* Added color options to hdr.boxplot.2d().

Version 2.12

* Modified hdr(), hdr.boxplot() and hdr.den() to allow a Box-Cox transformation to be used when computing the density. This allows the density estimate to be non-zero only on the positive real line.

Version 2.11

• Added hdrbw() from Matt Wand to compute better bandwidths for hdr(), hdr.den() and hdr.boxplot().
• Fixed a few bugs in the help files.

Version 2.10

• Bug fix in hdr.boxplot.2d(). The show.points option was not working.

Version 2.09

• Bug fix: the a bandwidth in cde() when fw=TRUE and use.locfit=TRUE was twice as large as it should have been.

Version 2.08

* Bug fix in hdr.boxplot.2d(). It would sometimes plot outliers on a separate plot.
* New argument to hdr.boxplot.2d() to allow the density to be estimated using the kde() function from the ks package.