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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.

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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