multimini

The goal of multimini is to use minimisation to randomise a multi-arm trial with various different techniques for the minimisation probabilities.

Installation

You can install the development version of multimini from GitHub with:

# install.packages("devtools")
devtools::install_github("EstherHerbert/multimini")

Examples

Using the default minimisation probabilities

This is a basic example which shows you how to solve a common problem:

library(multimini)

(mini <- minimise(patients, groups = 3, factors = c("sex", "stage"), 
                  burnin = 15))

balance(mini)

Specifying minimisation probabilities

(mini <- minimise(patients, groups = 3, factors = c("sex", "stage"),
                  burnin = 15, minprob = c(0.8, 0.2, 0)))

balance(mini)

Updating the miniisation

new.patients <- data.frame(
 sex = c("F", "F", "M"),
 stage = c("II","I", "I"),
 site = c(9, 9, 1)
)

update(mini, new.patients)