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Thank you for the update, it's useful to know that this method works in this situation.

I think that you should be able to do this with the normal variable manipulation commands such as generate and egen . Once you have the new variable representing the result of the calculation you should be able to get the credible intervals using the summarize command, or the mcmcsum provided with r...

You could try using LD_PRELOAD to switch to OpenBLAS as described in Is it possible to switch between BLAS libraries without recompiling program?, i.e.
I have not tested how well this works however.

I have added a package version for Rocky Linux 8, which can be requested from https://www.cmm.bristol.ac.uk/clients/softwaredownload/ . Note however that this will still need the libblas.so.3 and liblapack.so.3 files to be present in order to run: ldd /usr/bin/mlnscript linux-vdso.so.1 (0x00007ffdc9...

I asked George about this and his response was that you can use the nlcom command for this, i.e.:

When you click "Start Analysis" what should happen is that messages related to reading in the various data files will be displayed in the status bar at the bottom of the window. If these files are small or reading is complete before the status bar updates then you may not see these however...

I am not familiar with the multiESS function, however it appears to require a matrix or data.frame instead of the mcmc.list object return from R2MLwiN. If you convert it as follows it should work: # for runMLwiN function library(R2MLwiN) # for multiESS function library(mcmcse) # load the data data(t...

The number of cases reported here are for the initially loaded data, rather than each of the imputed datasets (which would all have complete data). This is because these are only loaded temporarily while the imputation analysis is being run, and the original data is restored once this is complete.

The "Cases in use" numbers reported in the equations window reflect the missing data in the currently loaded data. While the imputation analysis is run this is temporarily replaced with each of the imputed dataset from Realcom, however once the analysis is complete and the model results ar...

You can find the MCMC chains in the chains slot of the mlwinfitMCMC object returned from the runMLwiN function. An example of this would be as follows: # for runMLwiN function library(R2MLwiN) # for gelman.diag function library(coda) # load the data data(tutorial, package = "R2MLwiN") # ru...