Pseudo-Rsquareds
Compute the Nagelkerke and Cox–Snell pseudo-rsquared statistics, primarily for logistic regression. A generic function with methods for glm and svyglm. The method for svyglm objects uses the design-based estimators described by Lumley (2017)
psrsq(object, method = c("Cox-Snell", "Nagelkerke"), ...)object |
A regression model ( |
method |
Which statistic to compute |
... |
For future expansion |
Numeric value
Lumley T (2017) "Pseudo-R2 statistics under complex sampling" Australian and New Zealand Journal of Statistics DOI: 10.1111/anzs.12187 (preprint: https://arxiv.org/abs/1701.07745)
data(api)
dclus2<-svydesign(id=~dnum+snum, weights=~pw, data=apiclus2)
model1<-svyglm(I(sch.wide=="Yes")~ell+meals+mobility+as.numeric(stype),
design=dclus2, family=quasibinomial())
psrsq(model1, type="Nagelkerke")Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.