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.

Install the latest version of this package by entering the following in R:

`install.packages("lavaan.survey")`

Author | Daniel Oberski |

Date of publication | 2016-12-22 23:43:24 |

Maintainer | Daniel Oberski <daniel.oberski@gmail.com> |

License | GPL (>= 2) |

Version | 1.1.3.1 |

http://daob.nl/ |

**cardinale:** Nutrient experiment on patches of algae in Californian...

**ess4.gb:** British attitudes towards the welfare state.

**ess.dk:** Subset of four variables and interviewer number from the...

**lavaan.survey:** Complex survey analysis of structural equation models (SEM)

**lavaan.survey-package:** Complex survey analysis of structural equation models (SEM)

**liss:** Internet use in a panel data set.

**pisa.be.2003:** Belgian school childrens' math efficacy and measured ability...

**pval.pFsum:** F test for model fit of complex survey structural equation...

inst

inst/CITATION

tests

tests/testthat.R
tests/testthat

tests/testthat/test_roosma.R
NAMESPACE

data

data/ess.dk.rda

data/pisa.be.2003.rda

data/ess4.gb.rda

data/liss.rda

data/cardinale.rda

R

R/lavaan.survey.R
MD5

DESCRIPTION

man

man/ess.dk.Rd
man/pisa.be.2003.Rd
man/ess4.gb.Rd
man/lavaan.survey-package.Rd
man/pval.pFsum.Rd
man/cardinale.Rd
man/liss.Rd
man/lavaan.survey.Rd
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All documentation is copyright its authors; we didn't write any of that.

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