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.