Summarizing Vector Generalized Additive Model Fits
These functions are all methods for class vgam or
summary.vgam objects.
summaryvgam(object, dispersion = NULL, digits = options()$digits - 2,
presid = TRUE, nopredictors = FALSE)
## S3 method for class 'summary.vgam'
show(x, quote = TRUE, prefix = "",
digits = options()$digits-2, nopredictors = NULL)object |
an object of class |
x |
an object of class |
dispersion, digits, presid |
See |
quote, prefix, nopredictors |
See |
This methods function reports a summary more similar to
summary.gam() from gam than
summary.gam from mgcv.
It applies to G1-VGAMs using s and vector backfitting.
In particular, an approximate score test for linearity is conducted
for each s term—see Section 4.3.4 of Yee (2015) for details.
The p-values from this type of test tend to be biased upwards (too large).
summaryvgam returns an object of class "summary.vgam";
see summary.vgam-class.
vgam,
summary.glm,
summary.lm,
summary.gam from mgcv,
summarypvgam for P-VGAMs.
hfit <- vgam(agaaus ~ s(altitude, df = 2), binomialff, data = hunua) summary(hfit) summary(hfit)@anova # Table for (approximate) testing of linearity
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