Statistical Functions for Probability Distributions

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().


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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")

News

statip 0.1.5

  • 'mfv()' was not working with factors.

statip 0.1.4

  • Change in 'mfv()' to better take account of missing values.

statip 0.1.3

  • Updated authors list.

statip 0.1.2

  • Small updates before CRAN submission.

statip 0.1.1

  • Functions 'mfv()' and 'mfv1()' for the mode (most frequent value) found in a vector.

statip 0.1.0

  • Creation of the package 'statip'

Reference manual

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install.packages("statip")

0.1.5 by Paul Poncet, 4 months ago


https://github.com/paulponcet/statip


Report a bug at https://github.com/paulponcet/statip/issues


Browse source code at https://github.com/cran/statip


Authors: Paul Poncet [aut, cre], The R Core Team [aut, cph] (C function 'BinDist' copied from package 'stats'), The R Foundation [cph] (C function 'BinDist' copied from package 'stats'), Adrian Baddeley [ctb] (C function 'BinDist' copied from package 'stats')


Documentation:   PDF Manual  


GPL-3 license


Imports bazar, dplyr, graphics, stats

Suggests knitr, testthat


Suggested by evaluator.


See at CRAN