Dist

<p>Vector or matrix specifying one or more time series.</p>

<p>If the parameter <code>n</code> is an integer, the distribution is constructed
with a zeroed support of size <code>n</code>. If <code>n</code> is a vector of integer
values, the sequence is treated as the underlying support. On the other hand,
if <code>n</code> is a vector of floating point values, it is treated as a
probability distribution and must sum to unity. Note, if a probability
distribution is given as the underlying support, it will first be converted
to a histogram with a precision of 9 significant figures.</p>

An R wrapper of the 'Inform' v1.0.0 C library for performing
information analysis of complex systems. As for the 'Inform' library, 'rinform' is
structured around the concepts of: 1) discrete empirical probability distributions
which form the basis for all of the information-theoretic measures; 2) classic
information-theoretic measures built upon empirical distributions (e.g., Shannon entropy,
mutual information, cross entropy); and 3) advanced measures of information dynamics
for time series (e.g., transfer entropy, active information, evidence of integration).
In addition to the core components, 'rinform' also provides a collection of utilities to
manipulate time series (e.g., binning of continuous values, black-boxing of time series).

Gabriele Valentini

rinform

Dist: Construct a distribution

Description

Usage

Arguments

Value

Examples