gen_var_cov_matrix_block_designs: Computes varcov matrix for block designs

In GreedyExperimentalDesign: Greedy Experimental Design Construction

Computes varcov matrix for block designs

Description

The varcov matrix for block designs consists of a block- diagonal matrix with B blocks (the number of blocks in the design) with off-diagonal entries = -1 / (n/B - 1) where n is the number of subjected in the study.

Usage

gen_var_cov_matrix_block_designs(n, prop_T, B, use_cache = TRUE)

Arguments

n	number of observations
prop_T	the proportion of treatments allocated
B	the number of blocks
use_cache	Cache results for repeated calls with identical inputs. Default is TRUE.

Value

varcov matrix for the specific block design

Author(s)

Adam Kapelner

Examples

## Not run: 
gen_var_cov_matrix_block_designs(n = 12, prop_T = 0.5, B = 3)

## End(Not run)

GreedyExperimentalDesign documentation built on Jan. 9, 2026, 5:07 p.m.