The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

binsmooth: Generate PDFs and CDFs from Binned Data

Provides several methods for generating density functions based on binned data. Methods include step function, recursive subdivision, and optimized spline. Data are assumed to be nonnegative, the top bin is assumed to have no upper bound, but the bin widths need be equal. All PDF smoothing methods maintain the areas specified by the binned data. (Equivalently, all CDF smoothing methods interpolate the points specified by the binned data.) In practice, an estimate for the mean of the distribution should be supplied as an optional argument. Doing so greatly improves the reliability of statistics computed from the smoothed density functions. Includes methods for estimating the Gini coefficient, the Theil index, percentiles, and random deviates from a smoothed distribution. Among the three methods, the optimized spline (splinebins) is recommended for most purposes. The percentile and random-draw methods should be regarded as experimental, and these methods only support splinebins.

Version: 0.2.2
Imports: stats, pracma, ineq, triangle
Published: 2020-03-11
DOI: 10.32614/CRAN.package.binsmooth
Author: David J. Hunter and McKalie Drown
Maintainer: Dave Hunter <dhunter at westmont.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: binsmooth results

Documentation:

Reference manual: binsmooth.pdf

Downloads:

Package source: binsmooth_0.2.2.tar.gz
Windows binaries: r-devel: binsmooth_0.2.2.zip, r-release: binsmooth_0.2.2.zip, r-oldrel: binsmooth_0.2.2.zip
macOS binaries: r-release (arm64): binsmooth_0.2.2.tgz, r-oldrel (arm64): binsmooth_0.2.2.tgz, r-release (x86_64): binsmooth_0.2.2.tgz, r-oldrel (x86_64): binsmooth_0.2.2.tgz
Old sources: binsmooth archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=binsmooth to link to this page.

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.