evaluate_pca_plug_in: Calculate the test statistics on the left-out samples. Called...

In HMC: High-Dimensional Mean Comparison with Projection and Cross-Fitting

Calculate the test statistics on the left-out samples. Called in simple_pc_testing().

Description

Calculate the test statistics on the left-out samples. Called in simple_pc_testing().

Usage

evaluate_pca_plug_in(
  cross_fitting_sample_1,
  cross_fitting_sample_2 = NULL,
  nuisance_collection
)

Arguments

cross_fitting_sample_1	Group 1 sample. Each row is a subject and each column corresponds to a feature.
cross_fitting_sample_2	Group 2 sample. Each row is a subject and each column corresponds to a feature.
nuisance_collection	A collection of nuisance quantities estimated using "nuisance" samples. It is the output of estimate_nuisance_pc().

Value

A list of test statistics.

influence_each_subject_1	Statistics for sample 1.
influence_each_subject_2	Statistics for sample 2.

HMC documentation built on June 8, 2025, 10:32 a.m.