- predict.glm with type = response gives predictions on the response scale (e.g.
probabilities for logistic); type = link (default) gives on the link scale.
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probabilities for logistic); type = link (default) gives on the link scale.
default 2/3); loess parameter is span (default 0.75).
y)` — cannot predict at new points.
forward
SSasymp
Type I SS (sequential) are computed — order of terms matters.
use car::Anova() or set contrasts to contr.sum/contr.helmert.
quasipoisson) allow overdispersion — no AIC is computed.
logical
test = Chisq) for deviance-based tests; F` is invalid for non-Gaussian families.
use the cbind trick or offset.
factorLevelName concatenation.
poisson(link = log)
but slower and with deviance-based output).
^ means interaction crossing.
intercept
contr.poly for ordered.
gotchas
reserved = FALSE) by default does NOT encode reserved chars (/`
integer
not factor.
format = f
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