Other packages > Find by keyword >

scModels  

Fitting Discrete Distribution Models to Count Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("scModels", "1.0.4")



Attach the package and use:
library("scModels")
Maintained by
Lisa Amrhein
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-13
Latest Update: 2023-01-24
Description:
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.
How to cite:
Lisa Amrhein (2019). scModels: Fitting Discrete Distribution Models to Count Data. R package version 1.0.4, https://cran.r-project.org/web/packages/scModels. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 1.0.0 (2019-06-13 18:10), 1.0.1 (2019-09-03 02:00), 1.0.2 (2021-02-26 15:10), 1.0.3 (2022-03-29 23:50), 1.0.4 (2023-01-24 09:20)
Other packages that cited scModels R package
View scModels citation profile
Other R packages that scModels depends, imports, suggests or enhances
Complete documentation for scModels
Functions, R codes and Examples using the scModels R package
Some associated functions: Inverse-Gaussian . Poisson-beta . chf_1F1 . fit_params . gmRNA . nlogL . 
Some associated R codes: RcppExports.R . gillespie.R . log_likelihood.R . par_est_fns.R . pb.R .  Full scModels package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

mxnorm  
Apply Normalization Methods to Multiplexed Images
Implements methods to normalize multiplexed imaging data, including statistical metrics and visuali ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
shinyFeedback  
Display User Feedback in Shiny Apps
Easily display user feedback in Shiny apps. ...
Download / Learn more Package Citations See dependency  
spatialCovariance  
Computation of Spatial Covariance Matrices for Data on Rectangles
Functions that compute the spatial covariance matrix for the matern and power classes of spatial mod ...
Download / Learn more Package Citations See dependency  
RGIFT  
Create Quizzes in GIFT Format
Implementation of some functions to create quizzes in the GIFT format. This format is used by sever ...
Download / Learn more Package Citations See dependency  
survivalMPLdc  
Penalised Likelihood for Survival Analysis with Dependent Censoring
Fitting Cox proportional hazard model under dependent right censoring using copula and maximum penal ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA