Hi Yves
lavaan looks like a very nice package. From the tutorial introduction
I see you create path diagrams for some of the models you describe.
How did you do this? I don't see a function for this in the package.
I know there is a path.diagram function in the sem package that uses
dot to draw the diagram, but I've always found the layouts from dot
somewhat strange for path diagrams without a fair bit of tweaking.
-Michael
Yves Rosseel wrote:
Dear R-users,
A new package called `lavaan' (for latent variable analysis) has been
uploaded to CRAN. The current version of lavaan (0.3-1) can be used for
path analysis, confirmatory factor analysis, structural equation
modeling, and growth curve modeling.
More information can be found on the website: http://lavaan.org
Some notable features of lavaan:
- the 'lavaan model syntax' allows users to express their models in a
compact, elegant and useR-friendly way
- lavaan is robust and reliable: there are no convergence problems and
numerical results are very close (if not identical) to the commercial
package Mplus
- many different estimators are available: ML, GLS, WLS, robust ML using
Satorra-Bentler corrections, and FIML for data with missing values
- full support for meanstructures and multiple groups
- user friendly output including standardized solutions, fit measures,
modification indices and more
To get a first impression of how the 'lavaan model syntax' looks like,
below is the full R code for fitting a SEM model:
## begin R Code ##
library(lavaan)
# The industrialization and Political Democracy Example
# Bollen (1989), page 332
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 correlations
y1 ~~ y5
y2 ~~ y4 + y6
y3 ~~ y7
y4 ~~ y8
y6 ~~ y8
'
fit <- sem(model, data=PoliticalDemocracy)
summary(fit, fit.measures=TRUE)
## end R code ##
Please feel free to contact me directly with questions and comments.
Best,
Yves Rosseel.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
