Hosmer-lemeshow goodness-of-fit statistics for blm and lexpit objects.
Computes the deviance and Pearson chi-squared statistics for the fit from a
lexpit model. These tests are appropriate when all predictors are categorical and there are many replicates within each covariate class.
Returns a list with
table, 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.
When sample weights are present, the goodness-of-fit test is a modified F-test as suggested by Archer et al. (2007).
Stephanie Kovalchik firstname.lastname@example.org
Archer KJ, Lemeshow S, Hosmer DW. Goodness-of-fit tests for logistic regression models when data are collected using a complex sampling design. Computational Statistics & Data Analysis. 2007;51:4450–4464.
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