Conduct type II/III hypothesis testing on the MMRM fit results.

Usage

Anova.mmrm(
  mod,
  type = c("II", "III", "2", "3"),
  tol = sqrt(.Machine$double.eps),
  test.statistic = c("F", "Chisq"),
  ...
)

Arguments

mod: (mmrm)
the fitted MMRM.
type: (string) type of test, "II", "III", '2', or '3'.
tol: (numeric) threshold blow which values are treated as 0.
test.statistic: (string)
either "F or "Chisq", indicating the kind of test to perform.
...: arguments passed from other methods.

Details

Anova() will return an anova object with one row per variable.

If test.statistic = "F", columns will be Num Df(numerator degrees of freedom), Denom Df (denominator degrees of freedom), F Statistic, and Pr(>=F).

If test.statistic = "Chisq", columns will be Chisq (the Chi-squared test statistic), Df (degrees of freedom), and Pr(>=Chisq) (p-value).