So are you saying that one way to estimate goodness of fit would be to run
each of models using glm() and compare their BIC scores?
Is there a recommended way to demonstrate improvements in goodness of fit
when using svyglm?
Thanks
Brad
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Does anyone know how to calculated a BIC score (or an equivalent model
fitness score) when using svyglm for logistic regressions?
Thanks
Brad
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http://r.789695.n4.nabble.com/Generating-a-model-fitness-when-score-using-svyglm-tp2069280p2069280.html
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Does the survey package have a function similar to prop.test() Or is there a
way to use svyciprop() to perform a Chi-square test to see if the difference
in proportions is significant?
I'm comparing liberal congregations with conservative congregations in their
sponsorship of HIV/AIDS programs.
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