lm_model: Simple linear regression model

In mladenjovanovic/bmbstats: Bootstrap Magnitude-Based Statistics

Description

This model uses all predictors to model the outcome with lm function

Usage

lm_model(
  predictors,
  outcome,
  SESOI_lower = 0,
  SESOI_upper = 0,
  na.rm = FALSE,
  ...
)

Arguments

predictors	Data frame
outcome	Vector
SESOI_lower	Lower smallest effect size of interest threshold
SESOI_upper	Upper smallest effect size of interest threshold
na.rm	Should NAs be removed? Default is FALSE
...	Extra arguments forwarded to lm function

Value

model object

Examples

lm_model(
  predictors = iris[2:3],
  outcome = iris[[1]]
)

mladenjovanovic/bmbstats documentation built on Aug. 5, 2020, 4:20 p.m.