similar to: SEM PACKAGE

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 =

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 all, I'm trying to estimate some parameters with the optim() function but I need to restrict one parameter and I have not found how to do it. Could you help me please? my program is basically fn<-function(s) initial<-function(r) { cst<-r[1] cst1<-r[2] beta<-r[3] rho<-r[4] p1<-r[5] return(-sum()) } parms<-c() m0<-optim() I need to specify

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-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:

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

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

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

Hola a tod@s Estoy trabajando con modelos diferentes en R y me gustaría poder estudiar mas detalladamente los resultados obtenidos en la Consola de R. *¿Como puedo exportar los resultados de la consola de R a word o pdf?* Aprovecho para agradecer y felicitaros por este espacio de debate y trabajo, creo que realmente es bien interesante y útil poder compartir dudas y sugerencias, Muchas

Hola, ¿qué tal? Tengo el siguiente problema. Me llegan (simplificando) cadenas del tipo 1,2,"algo"; 3,"cosa"; 4,2,3,7; y tengo que partirlas por el caracter ";" para meterlas en una lista. Lo hago con strsplit y no tengo problemas... ... hasta que recibo cadenas como 1,2,"algo;todo"; 3,"cosa"; 4,2,3,7; en las que existen puntos y coma

Y aún así veremos si puedes apañarte... R no es muy buen gestor de memoria. Además de lo que te ha dicho Carlos, lo mejor es "programar bien", sabiendo cuando R hace copias de los objetos (cosa que hace muy a menudo), para evitarlo al máximo. Otra cosa que puede hacerse es "adelgazar los objetos" si no necesitas mucha de la información que contienen. Por ejemplo, si haces un

Buenas, El archivo de R ocupa 33 megas. La matriz que quiero construir cupa 14 gb. En el disco local (C) tengo 400 gb disponibles de 670. No estoy muy puesta en trabajar con este tipo de datos. ¿Qué diferencia es trabajar con data.frame? Gracias! El Vie, 7 de Febrero de 2020, 18:07, Xavier-Andoni Tibau Alberdi escribió: > Depende de la operació que quieras hacer con la matriz. Si quitas filas

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

Hola a todos. Tengo un problema y quería saber si hay alguna solución más allá de ampliar la memoria del ordenador. El caso es que tengo un script en el que voy generando datos... y al final tengo unos ficheros enormes que tarde o temprano me dan errores de memoria (en especial cuando los exporto a excel con XLConnect) Yo suponía que si en R borraba una variable con rm() el espacio de memoria

Muchas gracias Xabier. He intentaddo trabajar con la sparse matrix pero al pasar tdm a matriz me dice también que "cannot allocate a vector of size 12 gb". He hecho tdm<-as.matrix(tdm) ¿Está bien hecho eso para trabajar con la sparse matrix? Gracias! El Lun, 10 de Febrero de 2020, 16:15, Xavier-Andoni Tibau Alberdi escribió: > La respuesta de Carlos creo que es mucho mas

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 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