test_func: Bootstrap simulations for the WSCE

In scov: Structured Covariances Estimators for Pairwise and Spatial Covariates

Bootstrap simulations for the WSCE

Description

This function is computed multiple times as a bootstrap sample

Usage

test_func(
  s,
  num_bootstrap_iters,
  seed,
  dimension,
  num_observations,
  pearson_mat,
  dataset,
  parm,
  pairwise_covariate_matrices,
  adj_matrix,
  grid_size,
  adj_positions,
  interaction_effects,
  verbose,
  joint_estimation
)

Arguments

s	label of the sample
num_bootstrap_iters	number of iterations
seed	the seed
dimension	the dimension of the data
num_observations	size of the data
pearson_mat	the pearson correlation matrix
dataset	the dataset
parm	the parameter estimated from the sce
pairwise_covariate_matrices	the list of covariate matrices
adj_matrix	adjacency matrix of the spatial effect
grid_size	size of the grid for the spatial effect
adj_positions	positions within the adjacency matrix
interaction_effects	list of interaction effects
verbose	prints progress if TRUE
joint_estimation	estimates everything jointly if TRUE, uses a 2 step procedure if FALSE

Value

Returns an array containing the simulated value of the SCE and the Pearson correlation matrix

scov documentation built on March 18, 2026, 5:08 p.m.