chiSq_pearson: Pearson Chi-Square test

In Countr: Flexible Univariate Count Models Based on Renewal Processes

Pearson Chi-Square test

Description

Carry out Pearson Chi-Square test and compute the Pearson statistic.

Usage

chiSq_pearson(object, ...)

## S3 method for class 'renewal'
chiSq_pearson(object, ...)

## S3 method for class 'glm'
chiSq_pearson(object, ...)

Arguments

object	an object from class renewal
...	currently not used

Details

The computation is inspired from Cameron(2013) Chapter 5.3.4. Observed and fitted frequencies are computed and the contribution of every observed cell to the Pearson's chi-square test statistic is reported. The idea is to check if the fitted model has a tendancy to over or under predict some ranges of data

Value

data.frame with 5 columns given the count values (Counts), observed frequencies (Actual), model's prediction (Predicted), the difference (Diff) and the contribution to the Pearson's statistic (Pearson).

References

\insertRef

cameron2013regressionCountr

See Also

chiSq_gof

Countr documentation built on Nov. 13, 2022, 1:06 a.m.