Nothing
#' @include randSeq.R
#' @include mpPar.R
NULL
###############################################
# --------------------------------------------#
# Class mpSeq #
# --------------------------------------------#
###############################################
# --------------------------------------------
# Function for validity check
# --------------------------------------------
# --------------------------------------------
# Class definition for mpSeq
# --------------------------------------------
# Representation of sequences for the Maximal Procedure
#
# @description This set of classes provides functionality of storing randomization
# sequences of the Maximal Procedure along with the parameters
# representing the design.
#
# @slot N total number of patients included in the trial
# @slot mti The maximum tolerated imbalance during the trial
# @slot M matrix containing randomization sequences of length \code{N} in its rows.
#
setClass("mpSeq", slots = c(mti = "numeric"), contains = "randSeq")
# --------------------------------------------
# Class definition for rMpSeq
# --------------------------------------------
# Representation of sequences for the Maximal Procedure
#
# @description This set of classes provides functionality of storing random randomization
# sequences of the Maximal Procedure along with the parameters
# representing the design.
setClass("rMpSeq", contains = c("rRandSeq","mpSeq"))
# --------------------------------------------
# Methods for mpSeq
# --------------------------------------------
#' @rdname getProbabilities
setMethod("getProb", signature = c(obj = "mpSeq"),
function(obj) {
# every sequence euqiprobable, generate same probability
r <- nrow(obj@M)
tot <- (createMPMatrix(N(obj), mti(obj), ratio(obj)))[1]
rep(1/tot, r)
}
)
#' @rdname getDesign
setMethod("getDesign",
signature(obj = "mpSeq"),
function(obj) {
paste("MP(", obj@mti, ")", sep = "")
}
)
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