R: Comprehensive Automatized Evaluation of Distribution Models for Count Data

# Comprehensive Automatized Evaluation of Distribution Models for Count Data

## Documentation for package ‘countfitteR’ version 1.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

countfitteR-package | countfitteR - a framework for fitting count distributions in R
case_study | Short version of the 'case_study_FITC'
case_study_all | Case study with two fluorescent dyes
case_study_APC | Case study for APC dye
case_study_FITC | Case study for FITC dye
compare_fit | Compare fits
countfitteR | countfitteR - a framework for fitting count distributions in R
countfitteR_gui | countfitteR Graphical User Interface
decide | Make a decision based on the BIC value
dZINB | Zero-inflated negative binomial distrbution
dZIP | Zero-inflated Poisson distrbution
fit_counts | Fit counts to distributions
plot_fitcmp | plot_fitcmp
process_counts | Process counts
rZINB | Zero-inflated negative binomial distrbution
rZIP | Zero-inflated Poisson distrbution
select_model | Select the most appropriate model
sim_dat | Data created from simulation of NB Poiss
summary_fitlist | Summary of estimates
validate_counts | Validate data
ZINB | Zero-inflated negative binomial distrbution
zinb | Zero-inflated negative binomial distrbution
ZIP | Zero-inflated Poisson distrbution
zip | Zero-inflated Poisson distrbution