Template Model Builder (TMB)
TMB is an R package with functionality similar to ADMB.
It requires R at least version 3.0.0 and development tools needed to install R packages from source.
It is recommended to install TMB into your local R package library (if you do not yet have a local R package library, create one by running
install.packages("") from the R prompt and follow the instructions).
The package is installed from the command line by entering the adcomp folder and typing
- make install
To build the user manual type
- make pdf
Once the package is successfully installed it can be tested by starting R and running
To build API-Function reference (requires that you have "doxygen" installed) type
- make dox
Once the documentation is built open dox/html/index.html in your web browser. Use the search field to find functions and their documentation.
It is recommended to test that models can be changed, re-compiled and re-loaded without problems:
If everything works as intended this script should display "TRUE". The script has only been observed to fail for certain combinations of Linux and the gcc compiler, see below.
Tested to work on 32/64 bit R with latest Rtools. 64 bit R is recommended.
Start 64 bit R and change working directory to the (cloned or unzipped)
From R run:
The required Rtools will be downloaded and installed. Note that the PATH variable need not be changed by the installer or otherwise edited. The PATH will be automatically set for each TMB session.
- Parallel user templates work. However, changing the number of threads from R does not work.
- Filenames and folders with spaces works on systems supporting 8.3 filenames. Systems that do not support 8.3 filenames may have problems running the windows install script, unless R is installed in a folder without spaces.
- -Wall flag disabled by default.
Mac OS X
Tested to work with both llvm-gcc-4.2 and clang. Fortran compiler libraries must be installed. According to R admin manual "the OpenMP support in this version of gcc is problematic, and the alternative, clang, has no OpenMP support". So, parallel templates with OS X will require a different compiler installed.
On Mavericks (Mac OS 10.9) the Fortran compiler on the CRAN website does not work. More information and the solution can be found here. The easiest solution is to install the appropriate fortran libraries from r.research.att via the command line in Terminal:
curl -O http://r.research.att.com/libs/gfortran-4.8.2-darwin13.tar.bz2 sudo tar fvxz gfortran-4.8.2-darwin13.tar.bz2 -C /
Linux specific notes
For large 3D random field models the ordering algorithms shipping with R's Matrix package are far from optimal. To get better orderings available run the following in the terminal:
- sudo apt-get install libsuitesparse-metis-3.1.0
This will install a more complete version of CHOLMOD with more orderings available. Then install TMB like this:
- make install-metis
For a quick example of how to use it start R, load TMB and run
Issues with library unloading
On recent versions of gcc the following problem may be encountered: When the user cpp file is changed, re-compiled and re-loaded, the changes do not take place. To see if you are affected by this issue, assuming your compiled DLL is called "mymodel.so", try running:
- readelf -s mymodel.so | grep UNIQUE
If this gives a lot of output it is not possible to unload the library, and R will have to be restarted every time the model is re-compiled. There are at least two alternative solutions to this problem:
Use the clang compiler instead of gcc
Use gcc with compilation flag
-fno-gnu-unique(version 4.8.3 and newer)