Software Open Access
Daniel Oberski
{ "description": "<p>Fit structural equation models (SEM) including factor analysis, multivariate regression models with latent variables and many other latent variable models while correcting estimates, standard errors, and chi-square-derived fit measures for a complex sampling design. Incorporate clustering, stratification, sampling weights, and finite population corrections into a SEM analysis. Wrapper around packages lavaan and survey.</p>\n\n<p>You can install the <strong>current stable version</strong> of this R package from CRAN by doing install.packages("lavaan.survey") at the R command line. If you want the <strong>bleeding edge development version</strong> from GitHub, install devtools and do devtools::install_github("daob/lavaan.survey/lavaan.survey").</p>\n\n<p>The accompanying paper can be found at <a href=\"http://daob.nl/publications/\">http://daob.nl/publications/</a></p>", "license": "", "creator": [ { "affiliation": "Tilburg Unversity, The Netherlands", "@type": "Person", "name": "Daniel Oberski" } ], "url": "https://zenodo.org/record/33486", "codeRepository": "https://github.com/daob/lavaan.survey/tree/1.1.3", "datePublished": "2015-11-09", "version": "1.1.3", "@context": "https://schema.org/", "identifier": "https://doi.org/10.5281/zenodo.33486", "@id": "https://doi.org/10.5281/zenodo.33486", "@type": "SoftwareSourceCode", "name": "lavaan.survey: lavaan.survey An R package for complex survey analysis of structural equation models" }
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Data volume | 371.0 MB | 366.7 MB |
Unique views | 491 | 297 |
Unique downloads | 32 | 26 |