an R package for structural equation modeling and more
R
Switch branches/tags
Nothing to show
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Failed to load latest commit information.
R recent builds of EQS also use multigroup correction for RMSEA Aug 1, 2018
data
inst
man
tests
.Rbuildignore
.travis.yml cleanup multilevel code May 4, 2017
DESCRIPTION recent builds of EQS also use multigroup correction for RMSEA Aug 1, 2018
NAMESPACE
README

README

lavaan is a free, open source R package for latent variable analysis. You can
use lavaan to estimate a large variety of multivariate statistical models,
including path analysis, confirmatory factor analysis, structural equation
modeling and growth curve models.

The lavaan package is developed to provide useRs, researchers and teachers a
free open-source, but commercial-quality package for latent variable modeling.
The long-term goal of lavaan is to implement all the state-of-the-art
capabilities that are currently available in commercial packages. However,
lavaan is still under development, and much work still needs to be done.

To get a first impression of how lavaan works in practice, consider the
following example of a SEM model (the Political Democracy Example from 
Bollen's 1989 book):

library(lavaan)

model <- '
   # latent variable definitions
     ind60 =~ x1 + x2 + x3
     dem60 =~ y1 + y2 + y3 + y4
     dem65 =~ y5 + y6 + y7 + y8
   # regressions
     dem60 ~ ind60
     dem65 ~ ind60 + dem60
   # residual covariances
     y1 ~~ y5
     y2 ~~ y4 + y6
     y3 ~~ y7
     y4 ~~ y8
     y6 ~~ y8
'
fit <- sem(model, data=PoliticalDemocracy)
summary(fit)

More information can be found on the website: http://lavaan.org