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binsmooth  

Generate PDFs and CDFs from Binned Data
View on CRAN: Click here


Download and install binsmooth package within the R console
Install from CRAN:
install.packages("binsmooth")

Install from Github:
library("remotes")
install_github("cran/binsmooth")

Install by package version:
library("remotes")
install_version("binsmooth", "0.2.2")



Attach the package and use:
library("binsmooth")
Maintained by
Dave Hunter
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-12
Latest Update: 2020-03-11
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.
How to cite:
Dave Hunter (2016). binsmooth: Generate PDFs and CDFs from Binned Data. R package version 0.2.2, https://cran.r-project.org/web/packages/binsmooth
Previous versions and publish date:
0.1.0 (2016-08-12 16:46), 0.2.0 (2019-06-01 00:13), 0.2.1 (2019-10-27 06:10)
Other packages that cited binsmooth R package
View binsmooth citation profile
Other R packages that binsmooth depends, imports, suggests or enhances
Functions, R codes and Examples using the binsmooth R package
Some associated functions: county_bins . county_true . gini . rsubbins . sb_percentiles . sb_sample . simcounty . splinebins . stats_from_distribution . stepbins . theil . 
Some associated R codes: gini.R . rsubbins.R . sb_percentiles.R . sb_sample.R . simcounty.R . splinebins.R . stats_from_distribution.R . stepbins.R . theil.R .  Full binsmooth package functions and examples
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