| Name : R-binsmooth
| |
| Version : 0.2.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.4.7
| Date : 2024-06-14 11:26:08
|
| Group : Development/Libraries/Other
| Source RPM : R-binsmooth-0.2.2-lp153.4.7.src.rpm
|
| Size : 0.24 MB
| |
| Packager : (none)
| |
| Summary : Generate PDFs and CDFs from Binned Data
|
Description :
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.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
