Nothing
.AICcalc <- function(RSS, noPC, nvert, noregions, cont) {
n <- noPC * nvert # No of variables used
var <- RSS/n # Variance calculated ML way
k <- { # Calculating the number of parameters (k) being fitted in the model
if (cont) {
# For a continuous fit, a slope is estimated for each region and each PCO,
# only the intercept of the fist segment is estimated for each PCO since
# other intercepts are forced by the previous slope and breakpoint
# position, + a noregions-1 number of breakpoint is estimated
(noregions * noPC) + noPC + noregions - 1
}
else {
# For discontinuous fit, a slope and an intercept (2 params) are evaluated
# for region and for each PCO, + a noregions-1 number of breakpoint is estimated
(2 * noregions * noPC) + noregions - 1
}
}
if (n < k + 2) {
chk::err("the ratio of variables to parameters is too small. Reduce the number of regions or increase the number of variables")
}
AIC <- n * log(var) + (2 * k)
corr <- (2 * k * (k + 1)) / (n - k - 1) # Correct for number of parameters and small sample
AICc <- AIC + corr # Calculate AICc
BIC <- n * log(var) + log(n) * k
c(AICc = AICc, BIC = BIC)
}
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