Aliases: tidy.gam mgcv_tidiers gam_tidiers
Keywords:
### ** Examples # feel free to ignore the following line—it allows {broom} to supply # examples without requiring the model-supplying package to be installed. if (requireNamespace("mgcv", quietly = TRUE)) { # load libraries for models and data library(mgcv) # fit model g <- gam(mpg ~ s(hp) + am + qsec, data = mtcars) # summarize model fit with tidiers tidy(g) tidy(g, parametric = TRUE) glance(g) augment(g) }
# A tibble: 32 × 11 .rownames mpg am qsec hp .fitted .se.fit .resid .hat .sigma <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl> 1 Mazda RX4 21 1 16.5 110 24.3 1.03 -3.25 0.145 NA 2 Mazda RX4 Wag 21 1 17.0 110 24.3 0.925 -3.30 0.116 NA 3 Datsun 710 22.8 1 18.6 93 26.0 0.894 -3.22 0.109 NA 4 Hornet 4 Drive 21.4 0 19.4 110 20.2 0.827 1.25 0.0930 NA 5 Hornet Sportabo… 18.7 0 17.0 175 15.7 0.815 3.02 0.0902 NA 6 Valiant 18.1 0 20.2 105 20.7 0.914 -2.56 0.113 NA 7 Duster 360 14.3 0 15.8 245 12.7 1.11 1.63 0.167 NA 8 Merc 240D 24.4 0 20 62 25.0 1.45 -0.618 0.287 NA 9 Merc 230 22.8 0 22.9 95 21.8 1.81 0.959 0.446 NA 10 Merc 280 19.2 0 18.3 123 19.0 0.864 0.211 0.102 NA # … with 22 more rows, and 1 more variable: .cooksd <dbl>