similar to: Problem installing MCMCpack on SPARC Solaris 10

Hi, I've been having problems getting MCMCpack installed on my Solaris 10 x86 system. I've installed gcc from opencsw.org, and, for the most part, other R packages install nicely. >From what I can gather, the build fails due to a mismatch of include files. I *think* it wants to use the include files that are contained within the MCMCpack package (but I could be wrong on this - if this

64-bit R-2.12.0 was installed on Sun SPARC Solaris 10. Compiler used is solstudio12.2. Attached is the configure script. I then tried to install a recommended package called Matrix. The compilation failed with the following messages, ....... CC -library=stlport4 -G -L/opt/csw/lib/sparcv9 -L/opt/solstudio12.2/prod/lib/v9 -o Matrix.so CHMfactor.o Csparse.o TMatrix_as.o Tsparse.o init.o Mutils.o

I have 64-bit R 2 12 0 installed on Solaris 10 of Sun Sparc. When I tried to install RCurl, it failed with the following lines, ............... Version has CURLOPT_SSL_SESSIONID_CACHE libcurl version: libcurl 7.19.6 configure: creating ./config.status config.status: creating src/Makevars ** libs cc -xc99 -m64 -xarch=sparcvis2 -I/apps/sparcv9/R-2.12.0/lib/R/include -I/opt/csw/include

I'm completely new to R and am trying to install an add-on package for one of our faculty members. I've had no problems with most of them, but am completely stuck trying to figure out why MCMCpack won't install.. any help is VERY much appreciated!!! here's what I get when I try to install the package: * Installing *source* package 'MCMCpack' ... checking for C++ compiler

Dear all, The current version of my RNiftyReg package is failing to compile on CRAN's Solaris testbed, but I don't have access to a Solaris system to debug on, and Googling the error hasn't been very helpful. The error is CC -library=stlport4 -I/home/ripley/R/cc/include -DNDEBUG -DNDEBUG -DRNIFTYREG -I/usr/local/include -KPIC -O -xlibmil -xtarget=native -nofstore -c niftyreg.cpp

Hi, I attempted to build v3.3 using Sun Studio 12, but it failed right out of the gate. It looks like it can't find the standard libraries, but according to the make output, it's looking in the right places. Would someone please clue me in as to what I'm missing? Thanks. -John Using FLAGS = -I/opt/heimdal/include -I/usr/sfw/include/openssl -g -xs -xtarget=ultraT1

Hello, thank you very much for your previous answers about the C++ code. I am interested in the application of the Gibbs Sampler in the IRT models, so in the function MCMCirt1d and MCMCirtkd. I've found the C++ source codes, as you suggested, but I cannot find anything about the Gibbs Sampler. All the files are for the Metropolis algorithm. Maybe I am not able to read them very well, by the

Hi, I am having trouble compiling R-2.10.0 on the Solaris x86_64 platform using the native solaris-studio cc/F99 compilers. I am pretty sure that I have all my environment set up for a 64-bit compile. However, when doing a make I get the following error: /opt/solstudio12.2/bin/cc -m64 -I./api -I. -I../../../src/include -I../../../src/include -I/usr/local/include -DHAVE_CONFIG_H -KPIC -xO3 -c

http://dovecot.org/releases/2.0/dovecot-2.0.0.tar.gz http://dovecot.org/releases/2.0/dovecot-2.0.0.tar.gz.sig As promised last Friday, here's the v2.0.0 release finally. I'm cautiously optimistic that v2.0.1 won't (have to) be released for a few weeks, since there was quite a lot of testing and fixing going on in the RC stage. Remember to read http://wiki2.dovecot.org/Upgrading/2.0

http://dovecot.org/releases/2.0/dovecot-2.0.0.tar.gz http://dovecot.org/releases/2.0/dovecot-2.0.0.tar.gz.sig As promised last Friday, here's the v2.0.0 release finally. I'm cautiously optimistic that v2.0.1 won't (have to) be released for a few weeks, since there was quite a lot of testing and fixing going on in the RC stage. Remember to read http://wiki2.dovecot.org/Upgrading/2.0

Full_Name: Lloyd Lubet Version: 2.4.1rc OS: XP Submission from: (NULL) (65.19.17.17) Dear Andrew, I am trying to learn gibbs sampling and Metropolis. When I run your gibbs version of multiple linear regression my session crashes. I have trimmed the dataframe and set my object.size = 1 gigB. Despite my best efforts it still crashes while advising me to contact the MCMC Pack developement team.

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Hi everyone, I am running an ordinal probit using the Bayesian MCMCpack and I am getting an error saying "attempt for find suitable starting values failed" Here is my code: > posterior <- MCMCoprobit(y ~ x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8 +x9 + x10 + x11 + x12 +x13 , beta.start=c(-10, 0.05, 0.02, 0.04, 0.98, 0.61, -0.29, 0.91, -0.82, 1.34, 0.68, 0.57, 0.09, 0.5), mcmc=10000)

Hi R users, I am using the package MCMCpack and I would compute the Deviance Information Criterion for selecting models, instead of using bayes factors. I know that a similar question have been sent previously to the list by others, but I have found no response. Can somebody help me? best Giacomo

Hello Everyone Both the MCMCpack and the bayesm libraries allow us to make draws from the Inverse Wishart distribution. But I wanted to find out how exactly is the Inverse Wishart distribution parameterized in these libraries. The reason I ask is the following: Now its generally standard to express Inverse Wishart as IW(0.5 * DOF,0.5* Scale). (DOF-> Degree of freedom, Scale -> Scale

Hello dear Samba Group i try to install from repository Samba 4.10 on Ubuntu 19.04 - 64b with local BIND-9.11 Server. Lookop and Revers runnig .... after re-run Bind appair the following Error. /usr/lib/x86_64-linux-gnu/samba/bind9/dlz_bind9_11.so failed to map segment from shared object "named[7726]: dlz_dlopen failed to open library

Hi there, I am running MCMCpack (MCMCirt1d model) on some files (26 items x about 800 – 1200 individuals). I have a problem. When I am working on “big” files, the R program crashes. More precisely I got the following Microsoft Warning: ******************************************* Microsoft Visual C++ Runtime Library Runtime Error! Program: C:\Program Files\R\R-2.4.1\bin\Rgui.exe

Dear R users, Thanks in advance. I am Deb, Statistician at NSW Department of Commerce, Sydney. I am using R 2.9.1 on Windows XP. This has reference to the package “MCMCpack”. My objective is to select a better model using various alternatives. I have provided here an example code from MCMCpack.pdf. The matrix of Bayes Factors is: model1 model2 model3 model1 1.000 14.08

Hi, I've been testing some models with the MCMCpack library. I can run the process and get a nice model "object". I can easily see the summary and even plot it. I can't seem to figure out how to: 1) Access the final coefficients in the model 2) Turn the coefficients into a model so I can then run predictions using them. A summary command will SHOW Me the coefficients, but

Hi, I'm having issues with what I believe is a bug in the MCMCpack's MCMCmetrop1R function. I have code that basically looks like this: posterior.sampler <- function(data, prior.mu){ log.posterior <- function(theta) log.likelihood(data, theta) + log.prior(prior.mu, theta) post.samples <- MCMCmetrop1R(log.posterior, theta.init=prior.mu, burnin=100, mcmc=1000, thin=40,