similar to: multivariate modeling codes

I am the guy who compiles the OpenMx binaries. We would be delighted to place our package on CRAN, once the project is stable enough so that we are comfortable releasing it to the larger public. Let's try to track down where I made a mistake. Our Makevars.in file contains the line: PKG_LIBS=$(FLIBS) $(BLAS_LIBS) $(LAPACK_LIBS) In addition, on the build machine I noticed that a copy of

Full_Name: Timothy Brick Version: 2.10 OS: Mac OS X (seen on both 10.6 and 10.5) Submission from: (NULL) (63.255.24.5) When using install.packages in R on Mac OS X, packages that require gfortran throws an error (Example below from installation of OpenMx package): Loading required package: OpenMx Error in dyn.load(file, DLLpath = DLLpath, ...) : unable to load shared library

Dear R-help, I am interested in using structural equation modeling. Just getting started with it, but I'm looking for suggestions for packages. As an aside, what's the best way for looking for packages at CRAN? -- Robert Terwilliger Biomedical Physicist Laboratory of Neurocognitive Development Western Psychiatric Institute and Clinic University of Pittsburgh Medical Center Loeffler

Full_Name: Michael Spiegel Version: 2.10 OS: Windows Vista Submission from: (NULL) (76.104.24.156) The following error is produced when attempting to call install.packages. Here is the results of the traceback: > source('http://openmx.psyc.virginia.edu/getOpenMx.R') Error in f(res) : invalid subscript type 'list' > traceback() 7: f(res) 6: available.packages(contriburl =

Hi, I saw on the mailing list and in the NEWS file that some unsafe math transformations were disabled for the reference BLAS implementation that is used in R. We have a set of performance tests for the OpenMx library, and some of the tests have a x3-10 slowdown in R 2.12.0 versus 2.11.1. When I copy the shared library libRblas.0.dylib from the 2.11.1 installation into the 2.12.0 installation,

Dear all, I would like to know if it is possible to estimate multi-group SEM by using R... Thank you _________________________________________________________________ ¿Cuánto espacio necesitas para guardar tus emails? Con Hotmail tienes 5GB y puede ampliarse a más. [[alternative HTML version deleted]]

Is there a way to use full information maximum likelihood (FIML) to estimate missing data in the sem package? For example, suppose I have a dataset with complete information on X1-X3, but missing data (MAR) on X4. Is there a way to use FIML in this case? I know lavaan and openmx allow you to do it, but I couldn't find anything in the documentation for the sem package. Thanks! -- Dustin Fife

Does anyone know if someone is developing full-information maximum likelihood (FIML) estimation algorithms for basic regression functions, like glm()? I think that having FIML options for workhorse functions that typically use ML would give R an edge over other statistical software, given how well FIML performs in missing data situations compared to ML. While my current level of programming

Dear R Devel Some of our R users are still insisting we run R-2.15.3 because of difficulties with a package called OpenMX. It can't cooperate with new R, oh well. Other users need to run R-3.0.1. I'm looking for the most direct route to install both, and allow users to choose at runtime. In the cluster, things run faster if I install RPMs to each node, rather than putting R itself on

Hi. which package i need to install to be able to run "Path analysis" using r? many thanks, Guy -- Guy Rotem Department of Life Sciences The Spatial Ecology Lab Ben Gurion University of the Negev P.O.B. 653 Beer-Sheva 84105 ISRAEL +972-52-3354485 (mobile) +972-8-6461350 (lab) [[alternative HTML version deleted]]

Hi, I am wondering if anyone knows of an easy way to fit a saturated model using the sem package on raw data? Say the data were: mtcars[, c("mpg", "hp", "wt")] The model would estimate the three means (intercepts) of c("mpg", "hp", "wt"). The variances of c("mpg", "hp", "wt"). The covariance of mpg with

Hi, I recently tried to estimate a linear unconditional latent growth curve on 7 repeated measures using lavaan (most recent version): modspec=' alpha =~ 1*read_g0 + 1*read_g1 + 1*read_g2 + 1*read_g3 + 1*read_g4 + 1*read_g5 + 1*read_g6 beta =~ 0*read_g0 + 1*read_g1 + 2*read_g2 + 3*read_g3 + 4*read_g4 + 5*read_g5 + 6*read_g6 ' gmod=lavaan(modspec, data=math, meanstructure=T,

Hello All, Recently, I was asked to help out with an SEM cross-validation analysis. Initially, the project was based on "sample-splitting" where half of cases were randomly assigned to a training sample and half to a testing sample. Attempts to replicate a model developed in the training sample using the testing sample were not entirely successful. A number of parameter estimates were

On a cluster that is based on RedHat 6.2, we are updating to R-3.3.1. I have, from time to time, run into problems with various R packages and some older versions of GCC. I wish we had newer Linux in the cluster, but with 1000s of nodes running 1000s of jobs, well, they don't want a restart. Administrator suggested I try to build with the GCC that is provided with the nodes, which is

In R software,does it have packages about confirmatory factor analysis in R software? 3Q -- View this message in context: http://r.789695.n4.nabble.com/confirmatory-factor-analysis-in-R-tp3347618p3347618.html Sent from the R help mailing list archive at Nabble.com.

I have friendship data which is strong skewed. So it doesn't make sense to use maximum likelihood methods for fa and cfa. But I couldn't find any function for asymptotically distributed data for doing a factor analysis. Only: apca() but there is no possibility to allow for factor correlations. The same problem is with sem() I couldn't get any solutions for my model because of the

I want estimate MIMIC latent variable with R in a Monte Carlo simulation. The packages plspm and semPLS don't permit to introduce MIMIC variable but only reflexives or formatives variables. The only one program which permits to use MIMIC latent variable with PLSPM seems to be XLSTAT, which can not be used to simulate a lot of data bases. It is a real challenge to develop a package with

Does someone have confirmatory factor analysis program in R,which includes factor loading and some tests?thank you! -- View this message in context: http://r.789695.n4.nabble.com/confirmatory-factor-analysis-program-in-R-tp3386133p3386133.html Sent from the R help mailing list archive at Nabble.com.

I would like to extract the information criteria from an hlme object (lcmm package). Would you please advise me on how to extract just the BIC (AIC)? On another topic, when I apply hlme (lcmm) and flexmix (flexmix package) to the same data set, I get BIC values that suggest two different latent class structures. Flexmix using FLXMRlmm predicts two classes while hlme says 4. Can you suggest a

Hi, I'm trying to perform a hierachical, second order CFA. That's the thing that I need to leave AMOS. I found some sim.hierarchical and omega stuff, but nothing clear enough. Can anyone help me? I just need a simple and clear manual. Best, Pablo. [[alternative HTML version deleted]]