model_sig: model_sig

In jrgazola/stepKS: StepWise with KS metric

model_sig

Description

This function return TRUE if you model have all coefficients significatives and FALSE otherwise.

Usage

model_sig(
  model,
  one_cat_sig = FALSE,
  p_value = 0.05,
  ignore_intercept_sig = TRUE,
  trim_chars = 2
)

Arguments

model	R model object.
one_cat_sig	If TRUE function will consider significant models with al least one cat of the vars significative.
p_value	p_value.
ignore_intercept_sig	If TRUE function will ignore intercept significance.
trim_chars	Number of chars of name vars the function will trim.

Value

TRUE or FALSE

jrgazola/stepKS documentation built on March 22, 2022, 12:06 a.m.