R: Summarizing Vector Generalized Additive Model Fits

summaryvgam {VGAM} | R Documentation

## Summarizing Vector Generalized Additive Model Fits

### Description

These functions are all `methods` for class `vgam` or `summary.vgam` objects.

### Usage

    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)

### Arguments

`object` | an object of class `"vgam"`, which is the result of a call to `vgam` with at least one `s` term.
`x` | an object of class `"summary.vgam"`, which is the result of a call to `summaryvgam()`.
`dispersion, digits, presid` | See `summaryvglm`.
`quote, prefix, nopredictors` | See `summaryvglm`.

### Details

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).

### Value

`summaryvgam` returns an object of class `"summary.vgam"`; see `summary.vgam-class`.

### See Also

`vgam`, `summary.glm`, `summary.lm`, `summary.gam` from mgcv, `summarypvgam` for P-VGAMs.

### Examples

    hfit <- vgam(agaaus ~ s(altitude, df = 2), binomialff, data = hunua)
    summary(hfit)
    summary(hfit)@anova  # Table for (approximate) testing of linearity

[Package VGAM version 1.1-3 Index]