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#' Proxels of the next time step
#'
#' For a given basic event and a proxel, this function
#' calculates all the possible proxels for the next time step.
#'
#' @param BE a list containing states, transition matrix, distributions and their parameters for a basic event
#' @param proxel a data frame containing a state, age intensity and a probability.
#' @param delta a numeric value as time step
#'
#' @return a data frame where each row is a proxel
#'
#'
#' @examples
#' #A multi-state basic event with Weibull(2, 3) transition distribution function
#' #from working (OK) to an Intermediate State (IS), a fixed time of 0.5 transtion
#' #from IS to failure (F), and a fixed repair time of 0.1 (transition from state F to state OK).
#' delta <- 0.1
#' BE <- list(
#' states = c("OK", "IS", "F"),
#' G = rbind(
#' c(NA, 1, 0),
#' c(0, NA, 1),
#' c(1, 0, NA)
#' ),
#' dist = c("weibull", "unif", "unif"),
#' param = list(c(2, 3), c(0.5 - delta, 0.5 + delta), c(0.1 - delta, 0.1 + delta))
#' )
#' proxel <- data.frame(State = "IS", ageInt = 0.1, Prob = 0.9)
#' delta <- 0.1
#' nextLevel(BE, proxel, delta)
#'
#' @export
nextLevel <- function(BE, proxel, delta) {
ns <- length(BE$states)
if (ns == 2) {
left <- data.frame(
State = "OK", ageInt = calageInt("OK", proxel,delta),
Prob = proxel$Prob * calProb(BE, "OK", proxel, delta)
)
right <- data.frame(
State = "F", ageInt = calageInt("F", proxel,delta),
Prob = proxel$Prob * calProb(BE, "F", proxel, delta)
)
return(rbind(left, right))
} else {
left <- data.frame(
State = "OK", ageInt = calageInt("OK", proxel,delta),
Prob = proxel$Prob * calProb(BE, "OK", proxel, delta)
)
mid <- data.frame(
State = "IS", ageInt = calageInt("IS", proxel,delta),
Prob = proxel$Prob * calProb(BE, "IS", proxel, delta)
)
right <- data.frame(
State = "F", ageInt = calageInt("F", proxel,delta),
Prob = proxel$Prob * calProb(BE, "F", proxel, delta)
)
return(rbind(left, mid, right))
}
}
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