| NEWS | R Documentation |
mclogit now complains about (i.e. throws an error
exception) when the random effects structure cannot be estimated,
e.g. because random effects are constant within choice sets
and therefore drop out by the formation of conditional logits.
mclogit now supports conditional logit models with
random slopes.
mblogit now supports multinomial baseline models with
random intercept and random slopes.
predict methods of objects created by mclogit
and mblogit are better in handling missing data.
New nobs and extractAIC methods for mclogit objects, so that drop1.default should work with these.
New function mblogit to fit multinomial baseline logit models.
mclogit mclogit.fit now allow user-provided starting values.
getSummary methods now return "contrasts" and "xlevels" components.
Fixed prediction method for mclogit results.
Corrected handling of weights and standard errors of prediction.
Matrices returned by the mclogit method of vcov() have
row and column names.
The number of observations is now displayed where it was not before.
nobs is defined in mclogit.fit.rePQL.
mclogit.fit and mclogit.fit.rePQL are exported to enable their use by other packages.