CRAN/E | countfitteR

countfitteR

Comprehensive Automatized Evaluation of Distribution Models for Count Data

Installation

About

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.

Citation countfitteR citation info
github.com/BioGenies/countfitteR
Bug report File report

Key Metrics

Version 1.4
Published 2020-09-30 1276 days ago
Needs compilation? no
License GPL-3
CRAN checks countfitteR results
Language en-US

Downloads

Yesterday 12 0%
Last 7 days 41 -11%
Last 30 days 192 -1%
Last 90 days 735 +31%
Last 365 days 2.460 -28%

Maintainer

Maintainer

Jaroslaw Chilimoniuk

jaroslaw.chilimoniuk@gmail.com

Authors

Jaroslaw Chilimoniuk

cre / ctb

Alicja Gosiewska

ctb

Jadwiga Słowik

ctb

Michal Burdukiewicz

aut

Stefan Roediger

ctb

Material

README
Reference manual
Package source

Vignettes

countfitteR package - an overview

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

countfitteR archive

Imports

ggplot2
MASS
shiny
stats
pscl
tools
utils

Suggests

dplyr
DT
gridExtra
knitr
pander
reshape2
rmarkdown
shinythemes
shinycssloaders
shinyWidgets
spelling
testthat