#' SIR MLE
#'
#' This function calculates MLE using SIR empidemic data
#'
#' @param indata input data set. SIR trajectory data set
#' @return returning MLE of beta, gamma, rho of subsection 4.1
#' @export
SIR.MLE <- function(indata) {
emp.sir <- indata
n <- emp.sir$S[1]
time.diff <- diff(emp.sir$time)
low.S <- emp.sir$S[-length(emp.sir$S)]
up.S <- emp.sir$S[-1]
low.I <- emp.sir$I[-length(emp.sir$I)]
up.I <- emp.sir$I[-1]
int.SI <- sum(0.5 * time.diff * (low.S * low.I + up.S * up.I))
int.I <- sum(0.5 * time.diff * (low.I + up.I))
hat.beta1 <- n * (n - emp.sir$S[length(emp.sir$S)])/int.SI
hat.gamma1 <- emp.sir$R[length(emp.sir$R)]/int.I
hat.rho1 <- emp.sir[1, 2]/n
return(c(hat.beta1, hat.gamma1, hat.rho1))
}
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