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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")

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Install

install.packages('statip')

Monthly Downloads

14,201

Version

0.2.3

License

GPL-3

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Last Published

November 17th, 2019

Functions in statip (0.2.3)

predict.default

Default model predictions
midrange

Mid-range
mfv

Most frequent value(s)
lagk

Lag a vector
tableNA

Alternative Table Creation
trimean

Tukey's trimean
reexports

Objects exported from other packages
densityfun

Kernel density estimation
plot.loess

Basic plot of a loess object
picor

Piecewise-constant regression
dbern

The Bernoulli distribution
bandwidth

Bandwidth calculation
distr2name

Conversion between abbreviated distribution names and proper names
cv

Coefficient of variation
histo

Alternative Histograms
find_breaks

Breakpoints to be passed to a Histogram
kernel_properties

Smoothing kernels
hellinger

Hellinger distance
erf

Error function
midhinge

Midhinge