countfitteR: Comprehensive Automatized Evaluation of Distribution Models for Count Data

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.

Version:	1.0
Imports:	ggplot2, MASS, shiny, stats, tools
Suggests:	dplyr, utils, testthat, shinythemes, rhandsontable, gridExtra, pscl, DT, rmarkdown, knitr
Published:	2019-02-03
Author:	Jaroslaw Chilimoniuk [cre, ctb], Michal Burdukiewicz [aut], Stefan Roediger [ctb]
Maintainer:	Jaroslaw Chilimoniuk <jaroslaw.chilimoniuk at gmail.com>
BugReports:	https://github.com/jarochi/countfitteR/issues
License:	GPL-3
URL:	https://github.com/jarochi/countfitteR
NeedsCompilation:	no
Citation:	countfitteR citation info
Materials:	README
CRAN checks:	countfitteR results

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