menuBinomialGlm(formula, family=binomial, link=logit, variance=NULL, data, weights, subset, na.omit.p=T, trace=F, maxit=10, epsilon=0.001, print.short.p=F, print.long.p, print.anova.p=T, print.correlation.p=F, save.name=NULL, save.fit.p=F, save.resid.working.p=F, save.resid.pearson.p=F, save.resid.deviance.p=F, save.resid.response.p=F, plotResidVsFit.p=F, plotSqrtAbsResid.p=F, plotResponseVsFit.p=F, plotQQ.p=F, smooths.p=F, rugplot.p=F, id.n=3, plotPartialResid.p=F, plotPartialFit.p=F, rugplotPartialResid.p=F, scalePartialResid.p=T, newdata=NULL, predobj.name=NULL, predict.type="link", predict.p=F, se.p=F)
This function fits a logistic regression model. This is a generalized
linear model with
family = binomial
and
link = logit
. For details
on the arguments see
menuGlm
. For details on the underlying computations
see
glm
.