lm, aov, glm, multinom, polr
mlm, coxph, coxme, lme, mer, merMod, svyglm, svycoxph,
rlm, clm, clmm, or other suitable model object.
for a generalized linear model, whether to calculate
"LR" (likelihood-ratio), "Wald", or "F" tests; for a Cox
or Cox mixed-effects model, whether to calculate "LR" (partial-likelihood ratio) or
"Wald" tests (with "LR" tests unavailable for Cox models using the tt argument); in the default case or for linear mixed models fit by
lmer, whether to calculate Wald "Chisq" or Kenward-Roger
"F" tests with Satterthwaite degrees of freedom (warning: the KR F-tests
can be very time-consuming).
For a multivariate linear model, the multivariate test statistic to compute --- one of
"Pillai", "Wilks", "Hotelling-Lawley", or "Roy",
with "Pillai" as the default. The summary method for Anova.mlm
objects permits the specification of more than one multivariate
test statistic, and the default is to report all four.