Run a suite of model diagnostics

Source: man/runDiagnostics.Rd · Help: ?runDiagnostics

Combines heteroscedasticity checks with tests for collinearity, nonlinearity and influential observations.

Usage

runDiagnostics(
  model,
  data = NULL,
  tests = c("white", "koenker"),
  power = 2:3,
  use_cache = TRUE,
  chunk_threshold_mb = 100,
  chunk_size = 10000,
  progress = interactive()
)

Arguments

model

A fitted lm, or a glm with the Gaussian family and the identity link, or a formula. The tests refuse a glm of any other family or link since 0.15.0.

data

Optional data frame if model is a formula.

tests

Heteroscedasticity tests to run. Defaults to the White and Koenker tests, the default of runHeteroTests; it was the White and the classical Breusch-Pagan tests up to 0.14.0.

power

Powers for performRESETTest.

use_cache

Logical flag forwarded to runHeteroTests controlling whether cached diagnostic results may be reused.

chunk_threshold_mb

Numeric threshold passed to runHeteroTests for enabling streaming diagnostics on large datasets.

chunk_size

Integer chunk size supplied to runHeteroTests when streaming diagnostics.

progress

Logical flag controlling whether textual progress indicators are displayed during long-running operations.

Value

A list with the results of all diagnostics.

Examples

data(mtcars)
runDiagnostics(mpg ~ wt + qsec, mtcars)