RARfreq (version 0.1.4)

DBCD_BINARY_raw: Doubly Adaptive Biased Coin Design (Binary Data Frame)

Description

Allocates patients to one of treatments based on doubly adaptive biased coin design on individual data.

Usage

DBCD_BINARY_raw(X.df, group_allo, rho_func_index, rho_func, alpha)

Value

Code of the arm that the next subject is assigned to.

Arguments

X.df

A data frame of two columns: treatment arm and response value.

group_allo

An integer of the size of group allocation. The default is 1.

rho_func_index

Supply a number of 1, 2 or 3 indicting the allocation function to use. 1 = Wei's allocation 2 = Neyman allocation; 3 = Rosenberger allocation. The default is 3.

rho_func

Supply a user-specified allocation function of sample response rates when rho_func_index is NULL. Default is NULL.

alpha

Supply a number indicating the subscripts of the probability function. The default is 2.

Details

'DBCD_BINARY_raw' assigns the next subject to a group given the observed success rates, enrolled subjects and allocation function.

Examples

X.df = data.frame(
ARM = sample(LETTERS[1:3],50,replace = TRUE),
RESPONSE = sample(c(0,1),50,replace = TRUE)
)
DBCD_BINARY_raw(X.df, rho_func_index = 3, alpha=2)

X.df = data.frame(
ARM = sample(LETTERS[1:2],40,replace = TRUE),
RESPONSE = sample(c(0,1),40,replace = TRUE)
)
DBCD_BINARY_raw(
X.df, rho_func_index = NULL,
rho_func = function(x) rev(1-x)/sum(1-x), alpha=2
)