nparam(object, ...)
nparam.vlm(object, dpar = TRUE, ...)
nparam.vgam(object, dpar = TRUE, linear.only = FALSE, ...)
nparam.rrvglm(object, dpar = TRUE, ...)
nparam.qrrvglm(object, dpar = TRUE, ...)
nparam.rrvgam(object, dpar = TRUE, ...)
vglmff-class
.vgam
objects, this may be real rather than
integer, because the nonlinear degrees of freedom is real-valued.AIC()
methods functions.vglm-class
;
VGAMs are described in vgam-class
;
RR-VGLMs are described in rrvglm-class
;
AICvlm
.pneumo <- transform(pneumo, let = log(exposure.time))
(fit1 <- vglm(cbind(normal, mild, severe) ~ let, propodds, data = pneumo))
coef(fit1)
coef(fit1, matrix = TRUE)
nparam(fit1)
(fit2 <- vglm(hits ~ 1, quasipoissonff, weights = ofreq, data = V1))
coef(fit2)
coef(fit2, matrix = TRUE)
nparam(fit2)
nparam(fit2, dpar = FALSE)
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