Test a fixed-effect term — test

test_effect() asks Rust to construct fixed-effect term hypotheses and returns the corresponding fixed-effect inference rows.

Usage

test_effect(
  fit,
  term,
  method = c("auto", "satterthwaite", "kenward_roger", "bootstrap", "bootstrap_lrt",
    "cluster_bootstrap", "asymptotic", "boundary_lrt", "none"),
  bootstrap = NULL,
  group = NULL,
  ...
)

# S3 method for class 'mm_lmm'
test_effect(
  fit,
  term,
  method = c("auto", "satterthwaite", "kenward_roger", "bootstrap", "bootstrap_lrt",
    "cluster_bootstrap", "asymptotic", "boundary_lrt", "none"),
  bootstrap = NULL,
  group = NULL,
  ...
)

Arguments

fit: A fitted mm_lmm.
term: A fixed-effect term label.
method: Requested inference method.
bootstrap: Optional bootstrap_control() object for bootstrap-backed methods.
group: Optional grouping factor for method = "cluster_bootstrap". Required for crossed or multi-grouping-factor models. In schema 1.0.0, cluster resampling is an estimator-distribution target and term-level p-values return not_assessed with a stable reason code.
...: Reserved for future methods.

Value

An mm_effect_test object.