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#' Cycling analysis of compartmental matrices
#'
#' Computes the fundamental matrix N, and the expected number of steps from a
#' compartmental matrix A
#'
#'
#' @param A A compartmental linear square matrix with cycling rates in the
#' diagonal and transfer rates in the off-diagonal.
#' @return A list with 2 objects: the fundamental matrix N, and the expected
#' number of steps Et.
#' @seealso \code{\link{systemAge}}
cycling<-structure(
function
(A
)
{
Id = diag(1,nrow=nrow(A),ncol=ncol(A))
ones = matrix(1,nrow=nrow(A),ncol=1)
D = diag(abs(diag(A)))
P = A%*%solve(D) + Id
N = solve((Id-P))
Et = t(ones)%*%N
return(list(N=N,Et=Et))
}
,
ex=function(){
Fl=matrix(c(-2.1, 1.1, 1.0,
2.1, -1.1-1.1, 0,
0, 1.1, -1.0-0.2), byrow = TRUE, 3,3)
x0=matrix(c(50,10,10*3),3,3,byrow = TRUE)
A=Fl/x0
cycling(A)
}
)
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