mph.summary: Summary Statistics of the Fitted MPH Model

In cta: Contingency Table Analysis Based on ML Fitting of MPH Models

Description

Computes and prints a collection of summary statistics of the fitted MPH model.

This function is used in conjunction with the ML fitting function mph.fit.

Usage

mph.summary(mph.out, cell.stats = FALSE, model.info = FALSE, digits = 4)

Arguments

mph.out	Result of mph.fit.
cell.stats	Logical variable indicating whether cell specific statistics are to be output. Default: cell.stats = FALSE.
model.info	Logical variable indicating whether model information is to be output. Default: model.info = FALSE.
digits	Integer giving output precision; used in the round() function.

Value

NULL

Author(s)

Joseph B. Lang

References

Lang, J. B. (2004) Multinomial-Poisson homogeneous models for contingency tables, Annals of Statistics, 32, 340–383.

Lang, J. B. (2005) Homogeneous linear predictor models for contingency tables, Journal of the American Statistical Association, 100, 121–134.

See Also

mph.fit

cta documentation built on Aug. 24, 2021, 1:06 a.m.