Glance accepts a model object and returns a `tibble::tibble()`

with exactly one row of model summaries. The summaries are typically
goodness of fit measures, p-values for hypothesis tests on residuals,
or model convergence information.

Glance never returns information from the original call to the modelling
function. This includes the name of the modelling function or any
arguments passed to the modelling function.

Glance does not calculate summary measures. Rather, it farms out these
computations to appropriate methods and gathers the results together.
Sometimes a goodness of fit measure will be undefined. In these cases
the measure will be reported as `NA`

.

# S3 method for ridgelm
glance(x, ...)

## Arguments

x |
A `ridgelm` object returned from `MASS::lm.ridge()` . |

... |
Additional arguments. Not used. Needed to match generic
signature only. **Cautionary note:** Misspelled arguments will be
absorbed in `...` , where they will be ignored. If the misspelled
argument has a default value, the default value will be used.
For example, if you pass `conf.lvel = 0.9` , all computation will
proceed using `conf.level = 0.95` . Additionally, if you pass
`newdata = my_tibble` to an `augment()` method that does not
accept a `newdata` argument, it will use the default value for
the `data` argument. |

## Details

This is similar to the output of `select.ridgelm`

, but it is
returned rather than printed.

## See also

## Value

A `tibble::tibble()`

with exactly one row and columns:

kHKBmodified HKB estimate of the ridge constant

kLWmodified L-W estimate of the ridge constant

lambdaGCVchoice of lambda that minimizes GCV

## Examples

#> # A tibble: 6 x 5
#> lambda GCV term estimate scale
#> <dbl> <dbl> <chr> <dbl> <dbl>
#> 1 0 0.128 GNP 25.4 96.2
#> 2 0 0.128 Unemployed 3.30 90.5
#> 3 0 0.128 Armed.Forces 0.752 67.4
#> 4 0 0.128 Population -11.7 6.74
#> 5 0 0.128 Year -6.54 4.61
#> 6 0 0.128 Employed 0.786 3.40