Per-representation p-values, covariance, and condition number

Usage

riposte_components(
  formula,
  data,
  blocks = NULL,
  clusters = NULL,
  representations = riposte_reps_default(),
  nresample = 1999L,
  cluster_agg = mean,
  seed = NULL,
  alternative = c("two.sided", "greater", "less"),
  ...
)

Arguments

formula: Y ~ treatment for complete randomization, or Y ~ treatment | block for randomization within blocks (or use blocks).
data: a data.frame/data.table.
blocks: optional block specification (see riposte_test()).
clusters: optional cluster specification (see riposte_test()); the design is collapsed to the cluster level when given.
representations: a named list of representation functions; riposte_reps_default() by default.
nresample: number of re-randomizations for the marginal p-values.
cluster_agg: how to aggregate the outcome within a cluster; the cluster mean by default.
seed: optional integer seed (L'Ecuyer-CMRG) for reproducibility.
alternative: "two.sided" (default), "greater", or "less": the direction of each representation's mid-p value; see riposte_test().
...: reserved.

Value

an object of class riposte_components with the representations' mid-p permutation p-values in the requested direction, the closed-form covariance Sigma, its condition number, the kept/dropped representations, and the score matrix.