Tidy Intensive Longitudinal Data Analysis

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Documentation for package ‘tidyILD’ version 0.3.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

tidyILD-package	tidyILD: Tidy Intensive Longitudinal Data Analysis
as_ild	Coerce to ILD object
augment.ild_lme	Tidy and augment ild_lme fits with broom.mixed
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
ild_acf	Autocorrelation function for ILD variables or model residuals
ild_align	Align a secondary stream to primary ILD within a time window
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_pipelines	Compare provenance of two objects and report differences
ild_crosslag	Cross-lag model: lag predictor then fit outcome ~ lag
ild_decomposition	Within-person and between-person variance decomposition
ild_design_check	ILD design diagnostics: spacing, WP/BP, missingness, and recommendations
ild_diagnostics	Residual diagnostics for an ILD model
ild_export_provenance	Export provenance to a JSON or YAML file
ild_heatmap	ILD heatmap (alias for ild_plot with type = "heatmap")
ild_history	Print a human-readable log of preprocessing or analysis steps
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_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_model	Fit a model for missingness (diagnostic / sensitivity)
ild_missing_pattern	Summarize missingness pattern in ILD
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_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_provenance	Return the raw provenance object
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_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
tidy.ild_lme	Tidy and augment ild_lme fits with broom.mixed
tidyILD	tidyILD: Tidy Intensive Longitudinal Data Analysis
tidy_ild_model	Tidy fixed effects from an ILD model fit
validate_ild	Validate an ILD object and error if invalid