Generic function for the maximums (maxima) of a model.
An object for which the computation or extraction of a maximum (or maximums) is meaningful.
Other arguments fed into the specific
methods function of the model. Sometimes they are fed
into the methods function for
Different models can define a maximum in different ways. Many models have no such notion or definition.
Maximums occur in quadratic and additive ordination, e.g., CQO or CAO. For these models the maximum is the fitted value at the optimum. For quadratic ordination models there is a formula for the optimum but for additive ordination models the optimum must be searched for numerically. If it occurs on the boundary, then the optimum is undefined. For a valid optimum, the fitted value at the optimum is the maximum.
The value returned depends specifically on the methods function invoked.
Thomas W. Yee
Yee, T. W. (2004). A new technique for maximum-likelihood canonical Gaussian ordination. Ecological Monographs, 74, 685–701.
Yee, T. W. (2006). Constrained additive ordination. Ecology, 87, 203–213.
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## Not run: set.seed(111) # This leads to the global solution hspider[,1:6] <- scale(hspider[,1:6]) # Standardized environmental vars p1 <- cqo(cbind(Alopacce, Alopcune, Alopfabr, Arctlute, Arctperi, Auloalbi, Pardlugu, Pardmont, Pardnigr, Pardpull, Trocterr, Zoraspin) ~ WaterCon + BareSand + FallTwig + CoveMoss + CoveHerb + ReflLux, poissonff, Bestof = 2, data = hspider, Crow1positive = FALSE) Max(p1) index <- 1:ncol(depvar(p1)) persp(p1, col = index, las = 1, llwd = 2) abline(h = Max(p1), lty = 2, col = index) ## End(Not run)
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