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empirical (version 0.2.0)

Probability Distributions as Models of Data

Description

Computes continuous (not step) empirical (and nonparametric) probability density, cumulative distribution and quantile functions. Supports univariate, multivariate and conditional probability distributions, some kernel smoothing features and weighted data (possibly useful mixed with fuzzy clustering). Can compute multivariate and conditional probabilities. Also, can compute conditional medians, quantiles and modes.

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Version

Install

install.packages('empirical')

Monthly Downloads

6

Version

0.2.0

License

GPL (>= 2)

Maintainer

Abs Spurdle

Last Published

December 2nd, 2018

Functions in empirical (0.2.0)

sbc

Simplified Bell Curves
mode

Empirical Mode
multivariate

Nonparametric Multivariate Probability Distributions
comb.prob

Compute Probabilities
conditional

Nonparametric Conditional Probability Distributions
plots_univariate

Plots Univariate
plots_bivariate

Plots Bivariate
returned_functions

Returned Functions
univariate

Nonparametric Univariate Probability Distributions