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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "scModels" in publications use:'
type: software
license: GPL-3.0-only
title: 'scModels: Fitting Discrete Distribution Models to Count Data'
version: 1.0.5
doi: 10.32614/CRAN.package.scModels
abstract: 'Provides functions for fitting discrete distribution models to count data.
Included are the Poisson, the negative binomial, the Poisson-inverse gaussian and,
most importantly, a new implementation of the Poisson-beta distribution (density,
distribution and quantile functions, and random number generator) together with
a needed new implementation of Kummer''s function (also: confluent hypergeometric
function of the first kind). Three different implementations of the Gillespie algorithm
allow data simulation based on the basic, switching or bursting mRNA generating
processes. Moreover, likelihood functions for four variants of each of the three
aforementioned distributions are also available. The variants include one population
and two population mixtures, both with and without zero-inflation. The package depends
on the ''MPFR'' libraries () which need to be installed separately
(see description at ). This package is supplement
to the paper "A mechanistic model for the negative binomial distribution of single-cell
mRNA counts" by Lisa Amrhein, Kumar Harsha and Christiane Fuchs (2019)
available on bioRxiv.'
authors:
- family-names: Amrhein
given-names: Lisa
email: amrheinlisa@gmail.com
orcid: https://orcid.org/0000-0002-0370-624X
- family-names: Harsha
given-names: Kumar
email: kumarharsha.0292@gmail.com
orcid: https://orcid.org/0000-0002-3865-5286
- family-names: Fuchs
given-names: Christiane
email: christiane.fuchs@helmholtz-muenchen.de
orcid: https://orcid.org/0000-0003-3565-8315
repository: https://hkumar6.r-universe.dev
commit: 465f3de2ee5a6dba5b9e9debf5b2545ddba9ffb7
date-released: '2026-06-05'
contact:
- family-names: Harsha
given-names: Kumar
email: kumarharsha.0292@gmail.com
orcid: https://orcid.org/0000-0002-3865-5286