car_pb: Generate permuted block treatment assignments

In RobinCar: Robust Estimation and Inference in Covariate-Adaptive Randomization

Generate permuted block treatment assignments

Description

Generate permuted block treatment assignments

Usage

car_pb(z, trt_label, trt_alc, blocksize = 4L)

Arguments

z	The car_strata design matrix, as a data frame with factor variables
trt_label	Treatment label
trt_alc	Treatment allocation vector
blocksize	Permuted block blocksize

Value

A vector of treatment assignments with labels from the 'trt_label' argument, based on stratified permuted block randomization.

Examples

# Create car_strata variables
library(fastDummies)
library(dplyr)

x <- runif(100)
z <- cut(x, breaks=c(0, 0.25, 0.5, 0.75, 1.0))
z <- dummy_cols(z) %>%
     mutate(across(where(is.numeric), as.factor))

car_pb(z[, 2:5], c(0, 1, 2), trt_alc=c(1/4, 1/2, 1/4), blocksize=4L)

RobinCar documentation built on May 29, 2024, 3:03 a.m.