summary_fitlist

Counts are fitted to model(s) using the count name as the explanatory variable.
Estimates are presented in the table below along with the BIC values of their models.
Estimated coefficients of models (<code>lambda</code> for all distributions, <code>theta</code> for NB and ZINB, 
<code>r</code> for ZIP and ZINB).

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.

Jaroslaw Chilimoniuk

countfitteR

Comprehensive Automatized Evaluation of Distribution Models for
Count Data

Alicja Gosiewska

Jadwiga Słowik

Michal Burdukiewicz

Stefan Roediger

summary_fitlist function

<dl><dt>fitlist</dt>
<dd>a list of fits, as created by <code>fit_counts</code>.</dd></dl>

Arguments

Summary of estimates — summary_fitlist

<dl>

<dt>fitlist</dt>
<dd>a list of fits, as created by <code>fit_counts</code>.</dd>

</dl>

summary_fitlist: Summary of estimates

Description

Usage

Value

Arguments

See Also

Examples