search for: openmx

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)...

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 '/Library/Frameworks/R.framework/Resources/library/OpenMx/libs/i386/OpenMx.so': dlopen(/Library/Frameworks/R.framework/Resources/library/OpenMx/libs/i386/OpenMx.so, 6)...

Dear R users, The OpenMx developer team takes great pride in announcing the availability of OpenMx 1.0. The team would like to express its gratitude to the large number of beta-testers who have helped us improve the code. Thank you. OpenMx is a free suite of R functions and a estimation back-end that supports fitting a wi...

Dear R users, The OpenMx developer team takes great pride in announcing the availability of OpenMx 1.0. The team would like to express its gratitude to the large number of beta-testers who have helped us improve the code. Thank you. OpenMx is a free suite of R functions and a estimation back-end that supports fitting a wi...

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 = contriburl, method = method) 5: .install.winbinary(pkgs = pkgs, lib = lib, contriburl = contriburl, method = method, available = availabl...

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, the slowdown goes away. It seems reasonable that BLAS should conform to IEEE requirements. For the purposes o...

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 Graduate Student Quantitative Psychology University of Oklahoma [[alternative HTML version deleted]]

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]]

...ll information maximum likelihood). Here is exemplary missing data: dat <- as.matrix(mtcars[, c("mpg", "hp", "wt")]) dat[sample(length(dat), length(dat) * .25)] <- NA dat <- as.data.frame(dat) It is not too difficult to write a wrapper that does this in the OpenMx package because you can easily define paths using vectors and get all pairwise combinations using: combn(c("mpg", "hp", "wt"), 2) but I would prefer to use the sem package, because OpenMx does not work on 64 bit versions of R for Windows x64 and is not available from...

Hello, I am trying to profile a function of OpenMx (http://openmx.psyc.virginia.edu) for CPU time. My operating system is OS X 10.10. OpenMx contains C++ and Fortran code. I have read the section regarding profiling compiled code in the manual (https://cran.r-project.org/doc/manuals/r-release/R-exts.html#Profiling-compiled-code). This section...

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 the NFS share (but I co...

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]]

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

HI, I am relatively new to R and would appreciate some help or directions for this. I am trying to model 3 longitudinal outcomes jointly and to identify some predictors for these 3 joint outcomes (all continuous). I am trying to find some codes that I may modify to do this but cannot seem to find anything. -- View this message in context:

...that the approach I've suggested is the way to go? Are there others besides Dr. Harrell that I could cite in pursuing this approach? 2. Does anyone know of some substantial published applications of this approach using SEM? 3. Would any of the available R packages for SEM (e.g., lavaan, sem, OpenMx) be particulary straightforward to use in doing the bootstrapping? Thus far, the SEM has been done using MPLUS. I've not tried SEM in R yet, but would be interested in giving it a shot.?The SEM itself is relatively straightforward. Four latent variables, one with 7 indicators and the others wit...

...sted I try to build with the GCC that is provided with the nodes, which is gcc-4.4.7. To my surprise, R-3.3.1 compiled with that. After that, I got quite far, many 100s of packages compiled, but then I hit a snag that RccArmadillo explicitly refuses to build with anything older than gcc-4.6. The OpenMx package and emplik packages also refuse to compile with old gcc The cluster uses a module system, it is easy enough to swap in various gcc versions to see what compiles. I did succeed compiling RcppArmadillo with gcc 4.9.2. But Rcpp is not picky, it compiled with gcc-4.4.7. I worry... 1) will...

...== downloaded 19 KB trying URL 'http://rweb.crmda.ku.edu/cran/src/contrib/sem_3.1-6.tar.gz' Content type 'application/x-gzip' length 156194 bytes (152 KB) ================================================== downloaded 152 KB trying URL 'http://rweb.crmda.ku.edu/cran/src/contrib/OpenMx_2.3.1.tar.gz' Content type 'application/x-gzip' length 2537264 bytes (2.4 MB) ================================================== downloaded 2.4 MB ERROR: dependency 'visNetwork' is not available for package 'DiagrammeR' * removing '/panfs/pfs.acf.ku.edu/crmda/tools/...

...My gcc version 8.1.1 20180502 (Red Hat 8.1.1-1). Thanks, Peter On Sat, May 5, 2018 at 11:53 PM Prof Brian Ripley <ripley at stats.ox.ac.uk> wrote: > > This concerns CRAN packages > > Amelia C50 Cubist Cyclops DetSel GENLIB IRISSeismic KSgeneral > MigClim MonetDBLite Numero OpenMx PBSmapping PSPManalysis > PropClust RArcInfo RandomFields RandomFieldsUtils RcppMsgPack > RcppParallel RcppRedis RecordLinkage Rmalschains RnavGraph Rvcg > RxODE SiMRiv antiword bigrquery bsamGP catnet coxme dbarts > dggridR divest dpglasso earth epanet2toolkit fs gap geojsonsf > ggl...

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