Statistical Functions for Probability Distributions and Regression

A collection of miscellaneous statistical functions for probability distributions: 'dbern()', 'pbern()', 'qbern()', 'rbern()' for the Bernoulli distribution, and 'distr2name()', 'name2distr()' for distribution names; probability density estimation: 'densityfun()'; most frequent value estimation: 'mfv()', 'mfv1()'; other statistical measures of location: 'cv()' (coefficient of variation), 'midhinge()', 'midrange()', 'trimean()'; construction of histograms: 'histo()', 'find_breaks()'; calculation of the Hellinger distance: 'hellinger()'; use of classical kernels: 'kernelfun()', 'kernel_properties()'; univariate piecewise-constant regression: 'picor()'.

statip: miscellaneous statistical functions

A collection of miscellaneous statistical functions for probability distributions: dbern(), pbern(), qbern(), rbern() for the Bernoulli distribution, and distr2name(), name2distr() for distribution names; probability density estimation: densityfun(); most frequent value estimation: mfv(), mfv1(); calculation of the Hellinger distance: hellinger(); use of classical kernels: kernelfun(), kernel_properties().

Installation

You can install 'statip' from GitHub with:

# install.packages("devtools")
devtools::install_github("paulponcet/statip")