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countfitteR  

Comprehensive Automatized Evaluation of Distribution Models for Count Data
View on CRAN: Click here


Download and install countfitteR package within the R console
Install from CRAN:
install.packages("countfitteR")

Install from Github:
library("remotes")
install_github("cran/countfitteR")

Install by package version:
library("remotes")
install_version("countfitteR", "1.4")



Attach the package and use:
library("countfitteR")
Maintained by
Jaroslaw Chilimoniuk
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-02-03
Latest Update: 2020-09-30
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. ). 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.
How to cite:
Jaroslaw Chilimoniuk (2019). countfitteR: Comprehensive Automatized Evaluation of Distribution Models for Count Data. R package version 1.4, https://cran.r-project.org/web/packages/countfitteR
Previous versions and publish date:
1.0 (2019-02-03 16:33), 1.2 (2020-08-10 22:00), 1.3 (2020-09-02 19:30)
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