Returns a compact summary of a fitted ares model: the call, the
table of selected terms and coefficients, training RSS and GCV, and
(for non-gaussian families) GLM-side fit statistics.
Examples
fit <- ares(as.matrix(mtcars[, -1]), mtcars$mpg, nthreads = 2)
summary(fit)
#> Call:
#> ares.default(x = as.matrix(mtcars[, -1]), y = mtcars$mpg, nthreads = 2)
#>
#> MARS summary: family = gaussian
#> Selected: 6 of 21 forward-pass terms
#> RSS = 91.81364 GCV = 6.662215 degree = 1
#>
#> term coef
#> (Intercept) 19.71062781
#> h(145-disp) 0.08426401
#> h(123-hp) 0.08435673
#> h(gear-4) 3.85511175
#> h(17.05-qsec) -2.45008107
#> h(wt-2.78) -2.95313879