chiSq_pearson {Countr} | R Documentation |
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 |
... |
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
Cameron AC, Trivedi PK (2013). Regression Analysis of Count Data, volume 53. Cambridge University Press.
See Also
[Package Countr version 3.5.8 Index]