2026
lavDiag: Latent Variable Models Diagnostics
REČKA, KarelZákladní údaje
Originální název
lavDiag: Latent Variable Models Diagnostics
Autoři
Vydání
2026
Další údaje
Jazyk
angličtina
Typ výsledku
Software
Obor
50100 5.1 Psychology and cognitive sciences
Stát vydavatele
Česká republika
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Označené pro přenos do RIV
Ano
Organizační jednotka
Fakulta sociálních studií
Klíčová slova anglicky
confirmatory factor analysis; model diagnostics; item-level diagnostics; residual analysis; lavaan; R package
Technické parametry
Open-source software package (R package) for diagnostics, visualization, and model-based augmentation of latent variable models estimated using the lavaan framework. The package provides tools for residual diagnostics, item-level model fit assessment, factor score prediction, model-based item curves, and visualization of misfit in continuous, ordinal, and mixed SEM models. Distributed via CRAN.
Změněno: 20. 1. 2026 14:00, Mgr. Karel Rečka
Anotace
V originále
Diagnostics and visualization tools for latent variable models fitted with 'lavaan' (Rosseel, 2012 ). The package provides fast, parallel-safe factor-score prediction (lavPredict_parallel()), data augmentation with model predictions, residuals, delta-method standard errors and confidence intervals (augment()), and model-based latent grids for continuous, ordinal, or mixed indicators (prepare()). It offers item-level empirical versus model curve comparison using generalized additive models for both continuous and ordinal indicators (item_data(), item_plot()) via 'mgcv' (Wood, 2017, ISBN:9781498728331), residual diagnostics including residual correlation tables and plots (resid_cor(), resid_corrplot()) using 'corrplot' (Wei and Simko, 2021 ), and Q–Q checks of residual z-statistics (resid_qq()), optionally with non-overlapping labels from 'ggrepel' (Slowikowski, 2024 ). Heavy computations are parallelized via 'future'/'furrr' (Bengtsson, 2021 ; Vaughan and Dancho, 2018 ). Methods build on established literature and packages listed above.
Návaznosti
| GA23-06924S, projekt VaV |
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| MUNI/IGA/1099/2021, interní kód MU |
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