Package index

AD (Gaussian models)

Fitting, simulation, model selection, and inference for continuous outcomes.

aic_gau()

Akaike information criterion for fitted Gaussian AD models

bic_gau()

Bayesian information criterion for fitted Gaussian AD models

bic_order_gau()

BIC-based order selection for Gaussian AD models

ci_gau()

Confidence intervals for fitted Gaussian AD models

em_gau()

EM algorithm for Gaussian AD model estimation

fit_gau()

Fit Gaussian antedependence model by maximum likelihood

logL_gau()

Log-likelihood for Gaussian AD models (with missing data support)

test_contrast_gau()

Test linear hypotheses on the mean under antedependence

test_homogeneity_gau()

Likelihood ratio test for homogeneity across groups (Gaussian AD data)

test_one_sample_gau()

One-sample test for mean structure under antedependence

test_order_gau()

Likelihood ratio test for antedependence order (Gaussian AD data)

test_stationarity_gau()

Likelihood ratio test for stationarity (Gaussian AD data)

test_two_sample_gau()

Two-sample test for equality of mean profiles under antedependence

run_stationarity_tests_gau()

Run all stationarity-related tests for Gaussian AD

simulate_gau()

Simulate Gaussian antedependence series

INAD (Count models)

Fitting, simulation, likelihood, and inferential tools for integer-valued outcomes.

fit_inad()

Fit INAD antedependence model by maximum likelihood

logL_inad()

Log-likelihood for INAD models (with missing data support)

logL_inad_i()

INAD log likelihood contribution at time i (no fixed effect)

simulate_inad()

Simulate INAD antedependence series

em_inad()

EM algorithm for INAD model estimation

ci_inad()

Confidence intervals for fitted INAD models

aic_inad()

Akaike information criterion for fitted INAD models

bic_inad()

Bayesian information criterion for fitted INAD models

bic_order_inad()

BIC-based order selection for INAD models

test_order_inad()

Likelihood ratio test for antedependence order (INAD data)

test_homogeneity_inad()

Likelihood ratio test for homogeneity across groups (INAD data)

test_stationarity_inad()

Likelihood ratio test for stationarity (INAD data)

run_homogeneity_tests_inad()

Run all homogeneity tests for INAD

run_stationarity_tests_inad()

Run all stationarity-related tests for INAD

CAT (Categorical models)

Fitting, simulation, order/stationarity tests, and confidence intervals for categorical outcomes.

fit_cat()

Fit categorical antedependence model by maximum likelihood

em_cat()

EM algorithm for categorical AD model estimation

logL_cat()

Log-likelihood for categorical AD models (with missing data support)

simulate_cat()

Simulate categorical antedependence series

ci_cat()

Confidence intervals for fitted categorical AD models

aic_cat()

Akaike information criterion for fitted categorical AD models

bic_cat()

Bayesian information criterion for fitted categorical AD models

bic_order_cat()

BIC-based order selection for categorical AD models

test_order_cat()

Likelihood ratio test for antedependence order (categorical AD data)

test_homogeneity_cat()

Likelihood ratio test for homogeneity across groups (categorical AD data)

test_timeinvariance_cat()

Likelihood ratio test for time-invariance (categorical data)

test_stationarity_cat()

Likelihood ratio test for stationarity (categorical AD data)

run_order_tests_cat()

Run all pairwise order tests

run_stationarity_tests_cat()

Run all stationarity-related tests for categorical AD

Diagnostics and visualization

Exploratory diagnostics and plotting helpers for longitudinal trajectories and dependence.

partial_corr()

Compute intervenor-adjusted partial correlation matrix

plot_prism()

PRISM plot (Partial Residual Intervenor Scatterplot Matrix)

plot_profile()

Profile plot (spaghetti plot) for longitudinal data

Distributions and data

dbell() pbell() rbell() qbell()

The Bell distribution

Bz()

Bell numbers

bolus_inad

Morphine bolus analgesia counts

cattle_growth

Cattle growth data (Treatments A and B)

cochlear_implant

Cochlear implant speech recognition data

labor_force_cat

Labor force longitudinal categorical data (Table 1)

race_100km

100km race split-time data

Methods and internal topics

S3 methods and developer-facing helper functions.

print(<cat_ci>)

Print method for cat_ci objects

print(<cat_fit>)

Print method for cat_fit objects

print(<cat_lrt>)

Print method for cat_lrt objects

print(<gau_bic_order>)

Print method for BIC order selection

print(<gau_ci>)

Print method for AD confidence intervals

print(<gau_contrast_test>)

Print method for AD contrast test

print(<gau_fit>)

Print method for gau_fit objects

print(<gau_homogeneity_test>)

Print method for AD homogeneity test

print(<gau_mean_test>)

Print method for AD mean test

print(<gau_order_test>)

Print method for AD order test

print(<homogeneity_tests_inad>)

Print method for homogeneity_tests_inad

print(<inad_ci>)

Print method for INAD confidence intervals

print(<inad_fit>)

Print method for INAD model fits

print(<test_homogeneity_inad>)

Print method for test_homogeneity_inad

summary(<cat_ci>)

Summary method for cat_ci objects

summary(<gau_ci>)

Summary method for gau_ci objects

summary(<inad_ci>)

Summary method for inad_ci objects