gof.pearson: Pearson's goodness-of-fit statistics for 'blm' and 'lexpit'...

In blm: Binomial Linear Regression

Pearson's goodness-of-fit statistics for blm and lexpit objects.

Description

Computes the deviance and Pearson chi-squared statistics for the fit from a blm or lexpit model. These tests are appropriate when all predictors are categorical and there are many replicates within each covariate class.

Value

Returns a list with expected E and observed O and the chi-square test chisq and p-value (p.value) for the Pearson goodness-of-fit test. The observed and expected count are listed in the order of the unique levels formed by the design matrix.

usage

gof.pearson(object)

arguments

object

instance of blm or lexpit

Author(s)

Stephanie Kovalchik [e-mail]

See Also

blm, lexpit

Examples

data(ccdata)

fit <- blm(y~female+I(packyear>20),data = ccdata,
			weight = ccdata$w, strata = ccdata$strata)

gof.pearson(fit)

blm documentation built on Sept. 12, 2022, 9:05 a.m.