Package: countfitteR
Type: Package
Title: Comprehensive Automatized Evaluation of Distribution Models for
        Count Data
Version: 1.5
Authors@R: c(person("Jaroslaw", "Chilimoniuk", 
           email = "jaroslaw.chilimoniuk@gmail.com", 
           comment = c(ORCID = "0000-0001-5467-018X"),
           role = c("cre", "ctb")),
            person("Alicja", "Gosiewska", 
           email = "alicjagosiewska@gmail.com", 
           comment = c(ORCID = "0000-0001-6563-5742"),
           role = c("ctb")),
            person("Jadwiga", "Słowik", 
           email = "slowikj@student.mini.pw.edu.pl", 
           comment = c(ORCID = "0000-0003-3466-8933"),
           role = c("ctb")),
            person("Michal", "Burdukiewicz", 
           email = "michalburdukiewicz@gmail.com", 
           comment = c(ORCID = "0000-0001-8926-582X"),
           role = c("aut")),
            person("Stefan", "Roediger", 
           email = "stefan.roedigier@b-tu.de", 
           comment = c(ORCID = "0000-0002-1441-6512"),
           role = ("ctb"))
           )
Maintainer: Jaroslaw Chilimoniuk <jaroslaw.chilimoniuk@gmail.com>
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.
License: GPL-3
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
Suggests: dplyr, DT, gridExtra, knitr, pander, reshape2, rmarkdown,
        shinythemes, shinycssloaders, shinyWidgets, spelling, testthat
Date: 2025-07-01
URL: https://github.com/BioGenies/countfitteR
BugReports: https://github.com/BioGenies/countfitteR/issues
RoxygenNote: 7.3.2
Imports: ggplot2, MASS, shiny, stats, pscl, tools, utils
Language: en-US
Config/pak/sysreqs: cmake make libuv1-dev zlib1g-dev
Repository: https://biogenies.r-universe.dev
Date/Publication: 2025-07-01 10:10:04 UTC
RemoteUrl: https://github.com/biogenies/countfitter
RemoteRef: HEAD
RemoteSha: e177da1c274db0ec49669f50dee460843c83f712
NeedsCompilation: no
Packaged: 2026-07-04 03:08:34 UTC; root
Author: Jaroslaw Chilimoniuk [cre, ctb] (ORCID:
    <https://orcid.org/0000-0001-5467-018X>),
  Alicja Gosiewska [ctb] (ORCID: <https://orcid.org/0000-0001-6563-5742>),
  Jadwiga Słowik [ctb] (ORCID: <https://orcid.org/0000-0003-3466-8933>),
  Michal Burdukiewicz [aut] (ORCID:
    <https://orcid.org/0000-0001-8926-582X>),
  Stefan Roediger [ctb] (ORCID: <https://orcid.org/0000-0002-1441-6512>)