Other packages > Find by keyword >

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. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:22), 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
Complete documentation for binsmooth
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  
msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA