Nothing
"metacycle" <-
function(steps=1, d, A, p=rep(1, length(A)), y=1, x=1, e = min(A), alpha=1,
locations=NULL, ...)
{
edis <- as.matrix(exp(-alpha*d))
diag(edis) <- 0
edis <- sweep(edis, 2, A, "*")
E <- e/A^x
E <- ifelse(E > 1, 1, E)
if(is.null(locations))
locations <- cmdscale(d)
pmat <- matrix(0, nrow=length(p), ncol=steps + 1)
pmat[,1] <- p
for (i in 1:steps)
pmat[,i+1] <- metastep(pmat[,i], edis, E, y)
out <- list(p = pmat, d=edis, A=A, y=y, x=x, e=e, alpha=alpha, locations=locations)
out$J.obs <- rowSums(pmat[,-1, drop=FALSE])/steps
out$P.obs <- colSums(pmat)
S <- rowSums(edis)
C <- S^2/(S^2 + y)
out$J.pot <- C/(C+E-C*E)
out$S.pot <- S
out$C.pot <- C
class(out) <- "metacycle"
out
}
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