countfitteR-package: countfitteR - a framework for fitting count distributions in...

In countfitteR: Comprehensive Automatized Evaluation of Distribution Models for Count Data

Description

The countfitteR package is a toolbox for the analysis of count data.

Acknowledgements

countfitteR is a wrapper around existing count models in R. To standardize error messages and ease up the integration, we slightly modified the zeroinfl function by Achim Zeileis.

Author(s)

Jaroslaw Chilimoniuk, Stefan Roediger, Michal Burdukiewcz

Examples

set.seed(15390)
library(countfitteR)
df <- data.frame(pois = rpois(25, 0.3), 
                 binom = rbinom(25, 1, 0.8))

cmp <- compare_fit(df, fitlist = fit_counts(df, model = "all"))

Example output

Warning messages:
1: In theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
2: In theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
3: In theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached
4: In theta.ml(Y, mu, sum(w), w, limit = control$maxit, trace = control$trace >  :
  iteration limit reached

countfitteR documentation built on Oct. 23, 2020, 5:11 p.m.