lambda_calc <- function(x){
# simpler than before. It assumes data are on the Log scale
# takes just a vector of occupancy scores, not a 3D array
LogLambda <- rep(NA, length(x))
# All values should be NA then we start after the first year
# with data. The first year with data is set to 0
yearOne <- min(which(!is.na(x)))
LogLambda[yearOne] <- 0
for (t in (yearOne + 1):length(x)){
relyrs <- (!is.na(x[1:(t - 1)]))
if (any(relyrs)){
mrry <- max(which(relyrs)) # most recent reliable year
LogLambda[(mrry + 1):t] <- (x[t] - x[mrry])/(t - mrry)
} else {
LogLambda[t] <- NA
}
}
return(LogLambda)
}
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