Return summary statistics for GAM fits

Usage

anlz_fit(mod)

Arguments

mod: input model object as returned by anlz_gam

Value

A data.frame with summary statistics for GAM fits

Details

Results show the overall summary of the model as Akaike Information Criterion (AIC), the generalized cross-validation score (GCV), and the R2 values. Lower values for AIC and GCV and higher values for R2 indicate improved model fit.

Examples

library(dplyr)

# data to model
tomod <- rawdat %>%
  filter(station %in% 34) %>%
  filter(param %in% 'chl')
  
mod <-  anlz_gam(tomod, trans = 'log10')
anlz_fit(mod)
#>             AIC        GCV        R2
#> GCV.Cp -3.16689 0.07280572 0.6842621