as_ild                  Coerce to ILD object
augment_ild_model       Augment an ILD model fit with fitted values and
                        residuals
broom_ild_lme           Tidy and augment ild_lme fits with broom.mixed
ema_example             Example EMA-style intensive longitudinal
                        dataset
guardrail_registry      Guardrail rule registry (analysis safety layer)
ild_acf                 Autocorrelation function for ILD variables or
                        model residuals
ild_align               Align a secondary stream to primary ILD within
                        a time window
ild_as_tsibble          Convert an ILD object to a tsibble
ild_augment             Augment observations with fitted values and
                        residuals (S3 generic)
ild_augment_schema      Column dictionary for 'ild_augment()' outputs
ild_augment_states      Per-row latent states (long format) for complex
                        multi-state models
ild_autoplot            Autoplot for ILD model fits or diagnostics (S3
                        generic)
ild_brms                Fit a Bayesian mixed model to ILD data with
                        'brms'
ild_brms_dynamics_formula
                        Template brms formula for person-varying lag
                        slope
ild_build_msm_history   Build MSM lagged history columns from a spec
ild_bundle              Bundle a result with a reproducibility manifest
ild_center              Within-person and between-person decomposition
                        (centering)
ild_center_plot         Standalone WP/BP centering plot
ild_check_lags          Check lag variable validity (gap-aware)
ild_circadian           Time-of-day pattern plot for ILD
                        (circadian-style)
ild_compare_fits        Compare fitted models (AIC, BIC, nobs)
ild_compare_pipelines   Compare provenance of two objects and report
                        differences
ild_crosslag            Cross-lag model: lag predictor then fit outcome
                        ~ lag
ild_ctsem               Fit a continuous-time state-space model via
                        ctsem
ild_decomposition       Within-person and between-person variance
                        decomposition
ild_design_check        ILD design diagnostics: spacing, WP/BP,
                        missingness, and recommendations
ild_diagnose            Engine-agnostic diagnostics façade
ild_diagnostics         Residual diagnostics for an ILD model
ild_diagnostics_bundle
                        Canonical ILD diagnostics bundle
ild_diagnostics_utilities
                        Standalone diagnostics utilities and bundle
                        section providers
ild_export_provenance   Export provenance to a JSON or YAML file
ild_fit                 Fit a mixed model to ILD data (unified entry
                        point)
ild_heatmap             ILD heatmap (alias for ild_plot with type =
                        "heatmap")
ild_heterogeneity       Heterogeneity and person-specific effects from
                        mixed models
ild_history             Print a human-readable log of preprocessing or
                        analysis steps
ild_ipcw_weights        Inverse probability of censoring weights (IPCW)
                        for monotone dropout
ild_iptw_msm_weights    Sequential MSM inverse probability of treatment
                        weights (IPTW for A_t)
ild_iptw_weights        Inverse probability of treatment weights (IPTW)
ild_ipw_ess             Effective sample size from weights
ild_ipw_refit           Refit an ILD model with inverse-probability
                        weights (sensitivity analysis)
ild_ipw_weights         Compute inverse-probability-of-observation
                        weights from a missingness model
ild_joint_msm_weights   Joint MSM weights from IPTW and IPCW components
ild_kfas                Fit a Gaussian state-space model via KFAS
                        (single-subject ILD)
ild_lag                 Spacing-aware lag within person
ild_lme                 Fit a linear mixed-effects model to ILD
ild_manifest            Create a reproducibility manifest
ild_meta                Get ILD metadata attributes
ild_methods             Generate methods-style narrative from
                        provenance
ild_missing_bias        Test whether missingness is associated with a
                        predictor (informative missingness)
ild_missing_cohort      Cohort-level fraction observed by occasion
                        index
ild_missing_compliance
                        Person-level missingness compliance for one
                        outcome
ild_missing_hazard_first
                        Discrete hazard of first missing outcome on an
                        ordinal schedule
ild_missing_model       Fit a model for missingness (diagnostic /
                        sensitivity)
ild_missing_pattern     Summarize missingness pattern in ILD
ild_missingness_report
                        Missingness workflow report (orchestration)
ild_msm_balance         Covariate balance (weighted SMD) for MSM / IPW
ild_msm_bootstrap       Cluster bootstrap inference for weighted 'lmer'
                        (MSM / IPW sensitivity)
ild_msm_contrast_over_time
                        Compute MSM contrasts over time from a fitted
                        weighted model
ild_msm_diagnose        Diagnose an 'ild_msm_fit' result in one call
ild_msm_estimand        Define an MSM estimand specification
ild_msm_fit             Fit an MSM-style weighted mixed model from an
                        estimand spec
ild_msm_history_spec    Build a declarative MSM history specification
ild_msm_overlap_plot    Propensity overlap plot (pooled or sequential
                        MSM IPTW)
ild_msm_recovery        MSM recovery simulation harness
ild_msm_simulate_scenario
                        Simulate a simple longitudinal MSM scenario
ild_panel_lag_prepare   Prepare several lag columns and audit them
ild_person_distribution
                        Plot distribution of person-level estimates
                        from ild_person_model
ild_person_model        Fit a model separately per person (N-of-1 /
                        idiographic)
ild_plot                ILD-specific plots
ild_plot_filtered_vs_smoothed
                        Plot filtered vs smoothed state (first state)
ild_plot_forecast       Plot forecast or future simulation (stub when
                        no horizon)
ild_plot_predicted_trajectory
                        Observed and fitted values vs time (trajectory
                        overlay)
ild_plot_states         Plot smoothed latent states (first state by
                        default)
ild_power               Simulation-based power analysis for a fixed
                        effect in ILD models
ild_prepare             Prepare a data frame as an ILD (intensive
                        longitudinal data) object
ild_prior_ild           Prior specifications for common ILD mixed
                        models
ild_provenance          Return the raw provenance object
ild_recovery_metrics    Recovery metrics from simulation replications
ild_report              Assemble a light report from a model fit
ild_robust_se           Cluster-robust variance-covariance matrix for
                        ILD model fits
ild_simulate            Simulate simple ILD for examples, tests, and
                        power analysis
ild_spacing             Spacing diagnostics and correlation-structure
                        recommendation
ild_spacing_class       Classify spacing as regular-ish vs
                        irregular-ish
ild_spaghetti           ILD spaghetti / person trajectories (alias for
                        ild_plot with type = "trajectory")
ild_summary             One-shot summary of an ILD object
ild_tidy                Tidy fixed effects from an ILD model fit (S3
                        generic)
ild_tidy_schema         Column dictionary for ild_tidy() outputs
ild_tidy_states         Tidy per-time state summaries for ild_kfas
ild_tsibble_meta        Tsibble provenance from an ILD object
ild_tvem                Fit a time-varying effects model (TVEM) for ILD
ild_tvem_plot           Plot the time-varying coefficient from a TVEM
                        fit
is_ild                  Check if an object is a valid ILD tibble
plot_ild_diagnostics    Plot diagnostics from an ild_diagnostics object
tidyILD-package         tidyILD: Tidy Intensive Longitudinal Data
                        Analysis
tidy_ild_model          Tidy fixed effects from an ILD model fit
tidy_ild_msm_bootstrap
                        Tidy fixed effects from 'ild_msm_bootstrap'
validate_ild            Validate an ILD object and error if invalid
