lavDiag: Latent Variable Models Diagnostics
Diagnostics and visualization tools for latent variable models
fitted with 'lavaan' (Rosseel, 2012 <doi:10.18637/jss.v048.i02>).
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 <https://github.com/taiyun/corrplot>),
and Q–Q checks of residual z-statistics (resid_qq()), optionally with
non-overlapping labels from 'ggrepel' (Slowikowski, 2024
<https://CRAN.R-project.org/package=ggrepel>). Heavy computations are
parallelized via 'future'/'furrr' (Bengtsson, 2021 <doi:10.32614/RJ-2021-048>;
Vaughan and Dancho, 2018 <https://CRAN.R-project.org/package=furrr>).
Methods build on established literature and packages listed above.
| Version: |
0.1.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
corrplot (≥ 0.90), dplyr, furrr, future, future.apply, ggplot2, ggrepel, igraph, lavaan, mgcv, purrr, rlang, stringr, tibble, tidyselect, tidyr, vctrs, visNetwork, withr |
| Suggests: |
spelling, testthat (≥ 3.0.0) |
| Published: |
2026-01-17 |
| DOI: |
10.32614/CRAN.package.lavDiag (may not be active yet) |
| Author: |
Karel Rečka [aut, cre] |
| Maintainer: |
Karel Rečka <reckak at mail.muni.cz> |
| BugReports: |
https://github.com/reckak/lavDiag/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/reckak/lavDiag |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Citation: |
lavDiag citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
lavDiag results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=lavDiag
to link to this page.