Comprehensive Automatized Evaluation of Distribution Models for Count Data


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Documentation for package ‘countfitteR’ version 1.4

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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