View source: R/check_assumptions.R
check_assumptions | R Documentation |
When conducting a joint-significant test, different models are
fitted to the data. This function tests assumptions regarding these models
using the performance
package.
The assumptions test are performed using
check_normality
,
check_heteroscedasticity
, and
check_outliers
.
Note that check_assumptions
returns a mediation_model
object.
check_assumptions( mediation_model, tests = c("normality", "heteroscedasticity") )
mediation_model |
An object of class |
tests |
A character vector indicating which test to run. Supported test
includes |
Invisibly returns an object of class mediation_model
.
Other assumption checks:
plot_assumptions()
data(ho_et_al) ho_et_al$condition_c <- build_contrast(ho_et_al$condition, "Low discrimination", "High discrimination") my_model <- mdt_simple(data = ho_et_al, IV = condition_c, DV = hypodescent, M = linkedfate) check_assumptions(my_model)
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