Package index • riposte

Tests

The user-facing test and per-representation diagnostic.

riposte_test(): Combined randomization-based test of the sharp null
riposte_components(): Per-representation p-values, covariance, and condition number

The views of the outcome that get combined; an open, user-supplied set.

riposte_reps_default(): The default set of outcome representations
riposte_reps_proposal(): The proposal's representation set (raw tanh)
riposte_mean_dist(): Mean pairwise L1 distance of each unit to the others (within a block)
riposte_mean_rank_dist(): Mean pairwise L1 distance computed on the within-block ranks
riposte_max_dist(): Maximum distance of each unit to the block extremes
riposte_rank(): Mid-ranks of a block's outcomes
riposte_huber(): Huber's psi of a block's outcomes, standardised by the block's MAD
riposte_tanh(): Bounded (tanh) transform of a block's outcomes, robustly standardised
riposte_stephenson_scores(): Stephenson rank scores
riposte_stephenson_reps(): Stephenson rank-score representations at several tuning values
riposte_poly_scores(): Polynomial rank scores
riposte_poly_reps(): Polynomial rank-score representations at several tuning values

Choosing or blending the quadratic and the Cauchy from the conditioning of the covariance.

riposte_screen(): Choose (or blend) the combination from the conditioning of Sigma
riposte_screen_control(): Control parameters for the quadratic-vs-Cauchy screen

Controls-only learners, refit inside every re-randomization.

The permutation engine and the closed-form moments behind the tests.

riposte_sw_moments(): Closed-form Strasser-Weber permutation mean and covariance
riposte_block_draws(): Within-block re-randomizations preserving each block's treated count
riposte_score_matrix(): Build the within-block-centred score matrix from representations
riposte_midp(): Mid-p permutation p-values
riposte_acat_term(): Pole-aware Cauchy (ACAT) transform of p-values
riposte_truncated_cauchy(): Truncated Cauchy combination of p-values