The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
The goal of dynamic is to simulate fit index cutoffs for latent variable models that are tailored to the user’s model statement, model type, and sample size.
This is the counterpart of the Shiny Application, dynamicfit.app. The Shiny app and the R package will give you the same results. If you are comfortable with R, consider using the package during high traffic times to reduce server burden.
This is the beta version of the package. Please submit bug reports and issues on GitHub. You can install the released version of dynamic from CRAN with:
install.packages("dynamic")
library(dynamic)
#Lavaan object example (manual=FALSE)
dat <- lavaan::HolzingerSwineford1939
lavmod <- "F1 =~ x1 + x2 + x3
F2 =~ x4 + x5 + x6
F3 =~ x7 + x8 + x9"
fit <- lavaan::cfa(lavmod,dat)
cfaHB(fit)
#Manual entry example (manual=TRUE)
manmod <- "F1 =~ .602*Y1 + .805*Y2 + .857*Y3 + .631*Y4 + .345*Y5 + .646*Y6"
cfaOne(manmod,500,manual=TRUE)Click here.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.