#' Model names
#'
#' All software reliablity models.
#'
#' Return a list of all models.
#' \describe{
#' \item{exp}{Exponential model (Goel-Okumoto model).}
#' \item{gamma}{Gamma model.}
#' \item{pareto}{Pareto model (Littlewood model).}
#' \item{tnorm}{Truncated normal model.}
#' \item{lnorm}{Log-normal model.}
#' \item{tlogis}{Truncated logisitc model (Inflection S-shpaed model, Logistic curve).}
#' \item{txvmax}{Truncated exttreme-value max model (Gompertz curve).}
#' \item{lxvmax}{Log-exttreme-value max model (Frechet typed).}
#' \item{txvmin}{Truncated exttreme-value min model.}
#' \item{lxvmin}{Log-exttreme-value min model (Goel model, Weibull model).}
#' }
#'
#' @return A list of all software reliability models (exp, gamma,
#' pareto, tnorm, lnorm, tlogis, llogis, txvmax, lxvmax, txvmin, lxvmin).
#' @export
srm.models <- c(
"exp",
"gamma",
"pareto",
"tnorm",
"lnorm",
"tlogis",
"llogis",
"txvmax",
"lxvmax",
"txvmin",
"lxvmin"
)
#' Software reliability model
#'
#' Generate a software reliability model.
#'
#' Return a class of NHPP.
#'
#' @param names A character vector, indicating the model (\code{\link{srm.models}}).
#' @return A class of NHPP (\code{\link{NHPP}}).
#' @export
srm <- function(names) {
if (length(names) == 1L) {
create.srm.model(names)
}
else {
result <- lapply(names, create.srm.model)
names(result) <- names
result
}
}
create.srm.model <- function(name) {
switch(name,
"exp"=ExpSRM$new(),
"gamma"=GammaSRM$new(),
"pareto"=ParetoSRM$new(),
"tnorm"=TNormSRM$new(),
"lnorm"=LNormSRM$new(),
"tlogis"=TLogisSRM$new(),
"llogis"=LLogisSRM$new(),
"txvmax"=TXVMaxSRM$new(),
"lxvmax"=LXVMaxSRM$new(),
"txvmin"=TXVMinSRM$new(),
"lxvmin"=LXVMinSRM$new(),
NA
)
}
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