| idiographic-package | R Documentation |
Person-specific and within-person network estimation from intensive
longitudinal / ESM panel data: preprocessing audits
(preprocess()), edge-stability diagnostics
(estimate_stability()), model-comparison reports
(compare_idiographic()), rolling forecast validation
(validate_forecast()), rolling ordinary vector autoregression
(fit_rolling_var()), rolling graphical vector autoregression
(fit_rolling_graphical_var()), ordinary vector autoregression (fit_var()),
graphical vector autoregression (fit_graphical_var()), multilevel vector
autoregression (fit_mlvar()), unified SEM (fit_usem()), Group
Iterative Multiple Model Estimation (fit_gimme()), and idiographic
supervised machine-learning models (fit_ml()) for
individualized prediction. Use fit_idiographic() for registry-driven
dispatch or the direct fit_*() functions. Every result has tidy
as.data.frame(), summary(), and print methods; network estimators also
share edges(), coefs(), nodes(), matrices(), and plotting methods.
equivalence() reports the exact validation scope attached to each method.
Maintainer: Mohammed Saqr saqr@saqr.me [copyright holder]
Authors:
Sonsoles López-Pernas sonsoles.lopez@uef.fi
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