zinb

ZINB

rZINB

dZINB

number of random values to return.

target for number of successful trials, or dispersion parameter (the shape 
parameter of the gamma mixing distribution). Must be strictly positive, need not be integer..

size

vector of (non-negative integer) quantiles.

Density and random generation for the zero-inflated negative binomial 
distribution.

A large number of measurements generate count data. This is a statistical data type
that only assumes non-negative integer values and is generated by counting. Typically, counting
data can be found in biomedical applications, such as the analysis of DNA double-strand breaks.
The number of DNA double-strand breaks can be counted in individual cells using various
bioanalytical methods. For diagnostic applications, it is relevant to record the distribution of
the number data in order to determine their biomedical significance (Roediger, S. et al., 2018.
Journal of Laboratory and Precision Medicine. <doi:10.21037/jlpm.2018.04.10>). The software
offers functions for a comprehensive automated evaluation of distribution models of count
data. In addition to programmatic interaction, a graphical user interface (web server)
is included, which enables fast and interactive data-scientific analyses. The user is supported
in selecting the most suitable counting distribution for his own data set.

zinb: Zero-inflated negative binomial distrbution

Description

Usage

Arguments

See Also

Examples