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

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)
either "II", "III", "2", or "3", indicating the type of test to perform.

tol

(numeric) threshold below 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 Df(numerator degrees of freedom), Res.Df (denominator degrees of freedom), F, 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).