R: Summarizing Penalized Vector Generalized Additive Model Fits

summarypvgam {VGAM} | R Documentation

## Summarizing Penalized Vector Generalized Additive Model Fits

### Description

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

### Usage

    summarypvgam(object, dispersion = NULL, digits = options()$digits - 2,
                presid = TRUE)
    ## S3 method for class 'summary.pvgam'
    show(x, quote = TRUE, prefix = "", digits = options()$digits -
        2, signif.stars = getOption("show.signif.stars"))

### Arguments

`object` | an object of class `"pvgam"`, which is the result of a call to `vgam` with at least one `sm.os` or `sm.ps` term.
`x` | an object of class `"summary.pvgam"`, which is the result of a call to `summarypvgam()`.
`dispersion, digits, presid` | See `summaryvglm`.
`quote, prefix, signif.stars` | See `summaryvglm`.

### Details

This methods function reports a summary more similar to `summary.gam` from mgcv than `summary.gam()` from gam. It applies to G2-VGAMs using `sm.os` and O-splines, else `sm.ps` and P-splines. In particular, the hypothesis test for whether each `sm.os` or `sm.ps` term can be deleted follows quite closely to `summary.gam`. The p-values from this type of test tend to be biased downwards (too small) and corresponds to `p.type = 5`. It is hoped in the short future that improved p-values be implemented, somewhat like the default of `summary.gam`. This methods function was adapted from `summary.gam`.

### Value

`summarypvgam` returns an object of class `"summary.pvgam"`; see `summary.pvgam-class`.

### Warning

See `sm.os`.

### See Also

`vgam`, `summaryvgam`, `summary.pvgam-class`, `sm.os`, `sm.ps`, `summary.glm`, `summary.lm`, `summary.gam` from mgcv, `summaryvgam` for G1-VGAMs.

### Examples

    hfit2 <- vgam(agaaus ~ sm.os(altitude), binomialff, data = hunua)
    coef(hfit2, matrix = TRUE)
    summary(hfit2)

[Package VGAM version 1.0-3 Index]