compare_models: Compare regression models, which is compatible with the...

In regrrr: Toolkit for Compiling, (Post-Hoc) Testing, and Plotting Regression Results

Description

Compare regression models, which is compatible with the reg.table output # updated 9/13/2018 #

Usage

compare_models(
  model1,
  model2,
  model3 = NULL,
  model4 = NULL,
  model5 = NULL,
  model6 = NULL,
  model7 = NULL,
  model8 = NULL,
  model9 = NULL,
  model10 = NULL,
  model11 = NULL,
  model12 = NULL,
  model13 = NULL,
  model14 = NULL,
  model15 = NULL,
  model16 = NULL,
  model17 = NULL,
  model18 = NULL,
  model19 = NULL,
  model20 = NULL,
  likelihood.only = FALSE,
  round.digit = 3,
  main.effect.only = NULL,
  intn.effect.only = NULL
)

Arguments

model1	the 1st regression model
model2	the 2nd regression model
model3	the 3rd regression model
model4	the 4th regression model
model5	the 5th regression model
model6	the 6th regression model
model7	the 7th regression model
model8	the 8th regression model
model9	the 9th regression model
model10	the 10th regression model
model11	the 11th regression model
model12	the 12th regression model
model13	the 13th regression model
model14	the 14th regression model
model15	the 15th regression model
model16	the 16th regression model
model17	the 17th regression model
model18	the 18th regression model
model19	the 19th regression model
model20	the 20th regression model
likelihood.only	whether or not to output the likelihood
round.digit	number of decimal places to retain
main.effect.only	specify col number of alternative main-effect models, if any
intn.effect.only	specify col number of alternative moderator models, if any

Examples

data(mtcars)
m1 <- lm(mpg ~ vs + carb + hp + wt + wt * hp , data = mtcars)
m2 <- update(m1, . ~ .+ wt * vs)
compare_models(m1, m2)

regrrr documentation built on Aug. 13, 2021, 5:07 p.m.