Returns the summary table a la glm
Usage
# S3 method for class 'fast_logistic_regression'
summary(object, alpha_order = TRUE, ...)Examples
library(MASS); data(Pima.te)
flr = fast_logistic_regression(
Xmm = model.matrix(~ . - type, Pima.te),
ybin = as.numeric(Pima.te$type == "Yes"))
summary(flr)
#> approx_coef
#> (Intercept) -9.514133789
#> age 0.018056338
#> bmi 0.078956292
#> bp -0.008681487
#> glu 0.037480100
#> npreg 0.140978699
#> ped 1.110403052
#> skin 0.013173387
