ccoef
is a generic function which extracts the constrained
(canonical) coefficients from objects returned by certain modelling
functions.ccoef(object, ...)
EqualTolerances
is TRUE
). These two
normalizations cannot simultaneously hold in general. For rank
$R$ models with $R>1$ it becomes more complicated because
the latent variables are also uncorrelated. An important argument when
fitting quadratic ordination models is whether EqualTolerances
is TRUE
or FALSE
. See Yee (2004) for details.They are also applicable for reduced-rank VGLMs.
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.
ccoef-method
,
ccoef.qrrvglm
,
ccoef.cao
,
coef
.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,
fam = quasipoissonff, data = hspider, Crow1positive=FALSE)
ccoef(p1)
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