I'm not an OpenMx user, but I am trying to help somebody who is. We want to parallelize OpenMX models, sending them across many compute nodes in a Linux cluster. We can run with Rmpi or SNOW. (I see you support snowfall's approach to multicore, but I mean parallelization across many computers. We can run programs using snow, but not snowfall is not allowed (incompatible with OpenMPI)).
So I'm writing to ask if you can give me some completely self contained R programs using OpenMX that are known to work. The examples in your help pages are not as helpful because they don't actually run.
You know what I mean? Something that fabricates some data and uses it, like:
x <- rnorm(100)
y <- 3 + 4 * x + rnorm(100, sd=10)
dat <- data.frame(x,y)
mod <- lm(y~x, data=dat)
I need this because we have had some trouble parallelizing the user's OpenMX model. I can't tell if the hangup is in the user's code or OpenMX itself. So I need some "certified by the factory" working examples from you.