Nothing
#' @include randPar.R
NULL
###############################################
# --------------------------------------------#
# Class ebcPar #
# --------------------------------------------#
###############################################
# --------------------------------------------
# Function for validity check
# --------------------------------------------
# Validity check function for objects of the ebcPar class
#
# @inheritParams overview
#
# @return Returns a \code{TRUE}, if the settings of the object are valid.
validateebcPar <- function(object) {
errors <- character()
p <- object@p
N <- object@N
ratio <- object@ratio
if(p[1] < 0.5 || p[1] > 1) {
msg <- paste("First element of p is ", p[1], ". Should be in [0.5,1].",
sep = "", collapse = "")
errors <- c(errors, msg)
}
if(length(p) > 1) {
msg <- paste("p has length ", length(p), ". Should be one.",
sep = "", collapse = "")
errors <- c(errors, msg)
}
if(length(errors) == 0) TRUE else errors
}
# --------------------------------------------
# Class definition for ebcPar
# --------------------------------------------
# Randomization parameters generic
setClass("ebcPar",
slots = c(p = "numeric"),
contains = "randPar",
validity = validateebcPar)
# --------------------------------------------
# Constructor function for ebcPar
# --------------------------------------------
#' Representing Efron's Biased Coin Design
#'
#' Represents the randomization procedure Efron's Biased Coin Design.
#'
#' @details
#' Flip a biased coin with probability \code{p} in favor of the treatment
#' which is allocated less frequently. If both treatments have been assigned
#' equally often a fair coin is tossed.
#'
#' @family randomization procedures
#'
#' @inheritParams overview
#'
#' @return
#' \code{S4} object of the class \code{ebcPar}.
#'
#' @references
#' B. Efron (1971) Forcing a sequential experiment to be balanced. \emph{Biometrika},
#' \strong{58}, 403-17.
#'
#' @export
ebcPar <- function(N, p, groups = LETTERS[1:2]) {
new("ebcPar", N = N, p = p, K = 2, ratio = c(1, 1), groups = groups)
}
# --------------------------------------------
# Sampling algorithm for EBC
# --------------------------------------------
# Efrons Biased Coin and Big Stick Design
#
# This procedure generalises efrons biased coin design. It permits a maximum
# tolerated imbalance \code{MTI} during the trial.
# In the setting with success probability p = 0.5 of the biased coin it thus
# yields the Big Stick Design.
#
# @inheritParams overview
#
# @return A vector with the allocation sequence for a clinical trial.
# It will contain a zero (resp. 1) at position \code{i}, when patient \code{i}
# is allocated to treatment A (resp. B).
#
# @export
#
# @references
# B. Efron (1971) Forcing a sequential experiment to be balanced. \emph{Biometrika},
# \strong{58}, 403-17.
# J. F. Soares and C. F. Jeff Wu (1983) Some Restricted Randomization Rules in
# Sequential Designs. \emph{Comm. in Stat.}, \strong{12}, 2017-34.
efronRand <- function(bc, p, mti, K = 2) {
stopifnot(is.numeric(bc), is.numeric(p), round(mti) == mti, p >= 0.5 & p <= 1)
if(!(K == 2)) stop("EBC, BSD: K>2 not available yet.")
N <- sum(bc)
R <- numeric(N); reps <- 0; sumR <- 0; imb <- 0
while(reps < N) {
# case analysis
if(imb == 0) R[reps + 1] <- rbinom(1, 1, 0.5)
else if (imb >= mti) R[reps + 1] <- 0
else if (imb <= -mti) R[reps + 1] <- 1
else if (sign(imb) == 1) R[reps + 1] <- rbinom(1, 1, 1 - p)
else R[reps+1] <- rbinom(1, 1, p)
reps <- reps + 1
sumR <- sumR + R[reps]
imb <- 2*sumR - reps
}
R
}
# --------------------------------------------
# Methods for ebcPar
# --------------------------------------------
#' @rdname generateAllSequences
setMethod("getAllSeq", signature(obj = "ebcPar"),
function(obj) {
new("ebcSeq", M = compltSet(obj), p = coin(obj),
N = N(obj),
K = K(obj),
ratio = obj@ratio,
groups = obj@groups)
}
)
#' @rdname generateRandomSequences
setMethod("genSeq", signature(obj = "ebcPar", r = "numeric", seed = "numeric"),
function(obj, r, seed) {
set.seed(seed)
new("rEbcSeq",
M = t(sapply(1:r, function(x) {
efronRand(bc = N(obj), p = coin(obj), mti = N(obj), K = K(obj))
})),
N = N(obj),
p = coin(obj),
K = K(obj),
ratio = obj@ratio,
groups = obj@groups,
seed = seed)
}
)
#' @rdname generateRandomSequences
setMethod("genSeq", signature(obj = "ebcPar", r = "missing", seed = "numeric"),
function(obj, r, seed) {
set.seed(seed)
new("rEbcSeq",
M = t(efronRand(bc = N(obj), p = coin(obj), mti = N(obj))),
p = coin(obj),
N = N(obj),
K = K(obj),
ratio = obj@ratio,
groups = obj@groups,
seed = seed)
}
)
#' @rdname generateRandomSequences
setMethod("genSeq", signature(obj = "ebcPar", r = "numeric", seed = "missing"),
function(obj, r, seed) {
seed <- sample(.Machine$integer.max, 1)
set.seed(seed)
new("rEbcSeq",
M = t(sapply(1:r, function(x) {
efronRand(bc = N(obj), p = coin(obj), mti = N(obj), K = K(obj))
})),
N = N(obj),
p = coin(obj),
K = K(obj),
ratio = obj@ratio,
groups = obj@groups,
seed = seed)
}
)
#' @rdname generateRandomSequences
setMethod("genSeq", signature(obj = "ebcPar", r = "missing", seed = "missing"),
function(obj, r, seed) {
seed <- sample(.Machine$integer.max, 1)
set.seed(seed)
new("rEbcSeq",
M = t(efronRand(bc = N(obj), p = coin(obj), mti = N(obj))),
p = coin(obj),
N = N(obj),
K = K(obj),
ratio = obj@ratio,
groups = obj@groups,
seed = seed)
}
)
#' @rdname getDesign
setMethod("getDesign",
signature(obj = "ebcPar"),
function(obj) {
paste("EBC(", round(obj@p, digits = 2), ")", sep = "")
}
)
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