Description
Comprehensive Automatized Evaluation of Distribution Models for Count Data
Description
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.
README.md
countfitteR
countfitteR is a web server based on Shiny technology for selecting the most appropriate count distribution in provided data sets. The functions of countfitteR can also be accessed via the R console for coustomized analysis pipelines.
Installation
countfitteR is available on CRAN.
install.packages("countfitteR")
However, you can also install the developmental version of countfitteR directly from GitHub
devtools::install_github("BioGenies/countfitteR")
Run countfitteR
To run countfitteR type the following command into an R console.
countfitteR::countfitteR_gui()
How to cite
Chilimoniuk J, Gosiewska A, Słowik J, Weiss R, Deckert PM, Roediger S and Burdukiewicz M (2020). countfitteR: comprehensive automatized evaluation of distribution models for count data. R package version 1.4. https://cran.r-project.org/package=countfitteR.
@Manual{,
author = {Jaroslaw Chilimoniuk and Alicja Gosiewska and Jadwiga Słowik and Romano Weiss and P. Markus Deckert and Stefan Roediger and Michal Burdukiewicz},
title = {countfitteR: comprehensive automatized evaluation of distribution models for count data},
year = {2020},
note = {R package version 1.4},
url = {https://CRAN.R-project.org/package=countfitteR},
}