This function verifies assumptions for various linear regression models, including OLS, WLS, censored, and trunmessageed models.
check_lm_assumptions(
model,
studentize = TRUE,
iterations = 1000,
exact = NULL,
simulate.p.value = FALSE,
B = 2000,
simulate = TRUE
)A list containing the results of assumption checks.
Object of class 'lm'. The fitted linear regression model.
Argument of bptest function. Default is TRUE.
Argument of dwtest function. Default is 1000.
Argument of ks.test function. Default is NULL.
Argument of ks.test function. Default is FALSE.
Argument of ks.test function. Default is 2000.
Argument of durbinWatsonTest function. Default is TRUE.