Package index • heteroTests

All functions

HeteroDiagnostic(): Create a diagnostic object
TestFactory: Heteroscedasticity Test Factory
additional_tests: Additional heteroscedasticity tests
analyzeMLResiduals(): Machine-learning residual analysis
autoCompareRemediations(): Automatically compare remedial models
autoTransform(): Automatic transformation helper
autoplot(<hetero_test_suite>): Autoplot heteroscedasticity diagnostics
bootstrap_methods: Bootstrap utilities for heteroscedasticity diagnostics
cachedTest(): Cache results of a heteroscedasticity test
checkData(): Validate data argument
checkModel(): Validate model argument
checkModelEnhanced(): Enhanced model diagnostics
clearAnalysisCache(): Clear cached diagnostic run results
clearTestCache(): Clear cached test results
compareModelDiagnostics(): Compare diagnostics across models
compareTestResults(): Summarise heteroscedasticity test results
diagnostic_data: Simulated dataset with collinearity and mild nonlinearity
.diagnostic_registry: Diagnostics registry
downloadTeachingData(): Download example teaching dataset
fitRobust(): Robust regression wrapper
fitWLS(): Weighted Least Squares wrapper
generateDiagnosticReport(): Automated diagnostic report generation
analyseDatasetCharacteristics() suggestDiagnosticsForProfile() interpretHeteroTestResults() recommendRemediationStrategies() warnDiagnosticAssumptions() buildDiagnosticDecisionTree() composeDiagnosticNarrative() generateHeteroRecommendations(): Intelligent recommendations for heteroscedasticity diagnostics
hetero_data: Simulated dataset with heteroscedastic errors
hetero_test_suite hetero_grouped_suite: S3 containers for heteroscedasticity diagnostics
ht_set_log_level() ht_enable_log_capture() ht_log_history() ht_clear_log_history(): Control logging for heteroTests diagnostics
launchDiagnosticDashboard(): Interactive diagnostic dashboard
modern_diagnostics: Modern heteroscedasticity diagnostics
performArchLMTest(): Perform Engle's ARCH LM test
performBPRandomEffectsTest(): Breusch-Pagan LM test for random effects
performBPTest() performBreuschPaganTest(): Perform Breusch-Pagan test for heteroscedasticity
performBPTestRobust(): Robust Breusch–Pagan test with bootstrap and effect sizes
performBPTestStreaming(): Streaming Breusch\–Pagan test for large datasets
performBartlettTest(): Perform Bartlett's test for equality of variances
performBoxMTest(): Box's M Test for Equality of Covariance Matrices
performBrownForsytheTest(): Perform Brown-Forsythe test for equality of variances
performCookWeisbergTest(): Perform Cook-Weisberg test for heteroscedasticity
performDavidianCarrollTest(): Perform Davidian-Carroll test
performFlignerKilleenTest(): Perform Fligner-Killeen test for homogeneity of variances
performGQTest(): Perform Goldfeld-Quandt test for heteroscedasticity
performGlejserTest(): Perform Glejser test for heteroscedasticity
performHartleyFmaxTest(): Perform Hartley's Fmax test
performHarveyTest(): Perform Harvey test for multiplicative heteroscedasticity
performHighDimensionalTest(): High-dimensional projection heteroscedasticity test
performInfluenceDiagnostics(): Identify influential observations
performKoenkerTest(): Perform Koenker studentized Breusch-Pagan test
performKoenkerTestStreaming(): Streaming Koenker studentized Breusch\–Pagan test
performLeveneTest(): Perform Levene's test for equality of variances
performMcLeodLiTest(): Perform McLeod-Li test
performNCVTest(): Perform the non-constant variance (NCV) score test
performOBrienTest(): Perform O'Brien test for equality of variances
performParkTest(): Perform Park test for heteroscedasticity
performPesaranTest(): Perform Pesaran CD test
performQuantileRegressionTest(): Quantile regression heteroscedasticity test
performRESETTest(): Ramsey's RESET test for nonlinearity
performRankPermutationTest(): Rank-based permutation heteroscedasticity test
performScatterDiagnostic(): Scatter-plot diagnostics for heteroscedasticity
performSpatialHeteroTest(): Spatial heteroscedasticity test
performSpearmanTest(): Perform Spearman rank correlation test
performSpreadLevelTest(): Perform Spread-Level test
performStudentizedBPTest(): Studentized Breusch–Pagan test
performSzroeterTest(): Szroeter test for ordered alternatives
performVIFDiagnostic(): Variance inflation factors
performWhiteTest(): Perform White's test for heteroscedasticity
performWhiteTestBootstrap(): Bootstrap White test
performWhiteTestRobust(): Robust White test with bootstrap and effect sizes
performWhiteTestStreaming(): Memory-efficient White test for large datasets
performWildBootstrapTest(): Wild bootstrap heteroscedasticity test
plot(<HeteroDiagnostic>): Plot diagnostics
plot(<power_analysis>): Plot method for power analysis results
plotBeforeAfter(): Compare residuals before and after remediation
plotBubbleVariance(): Bubble plot of residual variance by covariate
plotDiagnosticSuite(): Generate a suite of diagnostic plots
plotDiagnosticSuiteEnhanced(): Enhanced diagnostic plot suite
plotResidualDensity(): Density plot of residuals
plotResidualQQ(): QQ plot of residuals
plotResidualsFitted(): Plot residuals vs fitted values
plotResidualsFittedEnhanced(): Enhanced residuals vs fitted plot
plotSpreadLevel(): Spread-Level plot for variance diagnostics
print(<htest_enhanced>): Print method for enhanced White test results
rbootstrap_test_statistic(): Bootstrap a test statistic
rcalculateEffectSize(): Effect size calculations for heteroscedasticity diagnostics
registerDiagnostic(): Register a custom diagnostic
registerPlot(): Register a diagnostic plot
restimate_test_power(): Estimate test power from observed effect size
robust_implementations: Robust heteroscedasticity diagnostics
rrunAdvancedDiagnostics(): Run enhanced heteroscedasticity diagnostics
runDiagnosticPlots(): Run registered diagnostic plots
runDiagnostics(): Run a suite of model diagnostics
runHeteroTests(): Run multiple heteroscedasticity diagnostics
runHeteroTestsParallel(): Parallel test execution helper
runMultivariateTests(): Run multivariate heteroscedasticity tests
runPanelTests(): Run panel-data heteroscedasticity tests
runSurveyHeteroTests(): Run heteroscedasticity diagnostics on survey designs
runTimeSeriesTests(): Run time-series heteroscedasticity tests
run_benchmark_suite() generate_benchmark_report(): Benchmark heteroTests against reference implementations
rvalidate_against_reference(): Validate diagnostics against reference implementations
scale_colour_hetero_diagnostic() scale_fill_hetero_diagnostic(): Colour scale for heteroscedasticity diagnostics
simulate_hetero() simulate_arch1() sigma_linear() sigma_exponential() sigma_group() sigma_piecewise() sigma_poly() sigma_sin() sigma_multiplicative() sigma_spatial() sigma_logistic() sigma_inverse() sigma_power() sigma_step() sigma_u_shape() sigma_exp_decay() sigma_gaussian_peak() sigma_piecewise_linear(): Simulate heteroscedastic data
simulate_type_I_errors() simulate_power_analysis(): Advanced simulation framework for test validation
std_error(): Generate standardized error message
std_warning(): Generate standardized warning message
suggestRemediation() print(<remediation_suggestions>): Suggest remediation actions for heteroscedasticity
summary(<HeteroDiagnostic>): Summarize diagnostics
test(): Run diagnostic tests
test_factory: Shared instance of the test factory
theme_hetero(): Heteroscedasticity diagnostic theme
tidy(<hetero_test>) glance(<hetero_test>) augment(<hetero_test>) tidy(<hetero_test_suite>) glance(<hetero_test_suite>) augment(<hetero_test_suite>) tidy(<hetero_grouped_suite>): broom methods for heteroscedasticity diagnostics
validateTestInputs(): Validate model and data inputs before running diagnostics