similar to: Profiling function that contains both C++ and Fortran Code

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 wide variety of structural equation models including multiple groups, full

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 wide variety of structural equation models including multiple groups, full

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

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

OpenStreetMap is a new package that accesses raster open street maps from Mapnik, and satellite imagery from Bing. Some features: 1. Uses multiple map tiles stitched together to create high quality images. 2. No files are created or stored on the hard drive. 3. Tiles are cached, so downloads occur only when necessary. 4. ggplot 0.9.0 integration More information is available

What is the latest version for Netware as I am on 2.6.3 and coming up against some of the documented problems that have been resolved in version 3 onwards? The problem I have is when transferring large files it causes the source server to run out of Memory with the following error 17-06-2010 1:00:02 am: SERVER-5.70-0 [nmID=6001D] Cache memory allocator out of available memory.

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,

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 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

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

Dear Rxperts, Is there a simpler way to generate multipanel grouped individual profile plots? All individuals of a group within a panel have the same color. As of now I am using lattice::xyplot to get the desired effect. Please feel free to suggest other ideas. Also, I am trying to create a generalized function which goes on similar lines like this.. grpPlot <- function(dat, mpgrp=quote(G),

Some time ago I (and some other CRAN package maintainers) got an email from Brian Ripley (copied below) regarding compiler warnings under gcc 8.1. In my case this concerns package PropClust (https://CRAN.R-project.org/package=PropClust). The check with gcc 8.1 (https://www.stats.ox.ac.uk/pub/bdr/gcc8/PropClust.out) produced a warning about an uninitialized variable. I cannot reproduce the warning

There are many issues with different gcc versions, but they can at least be minimized by using static linking, i.e. you should at the very least use -static-libstdc++ -static-libgcc to make sure you don't mix runtime versions. We run into the same problem since C++11 compilers are rare on production machines, but as long as you can isolate the packages away from the dynamically loaded code it

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

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

Lately, I see a dependency problem with R-3.2 systems. install.packages allows dependencies, but they are not installed so the install fails. I see this a lot with students who are able to install packages like ggplot2 but then can't load it because a dependency "stringi" is missing. Those students are generally using Windows, but today I reproduced the same on RedHat Linux with

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

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]]

Changing the vapply() behavior makes sense in principle. I analyzed the CRAN code base using the R parser and found 143 instances of calling vapply with USE.NAMES=FALSE. These would need to be inspected to understand the consequences of the change. For reference: /AzureML/R/datasets.R:226 /BBmisc/R/toRangeStr.R:33 /DBI/R/DBDriver.R:205 /Kmisc/R/str_rev.R:37 /Matrix/R/diagMatrix.R:98

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