r-cran-tmb 1.7.14-1 (s390x binary) in ubuntu disco

 With this tool, a user should be able to quickly implement complex
 random effect models through simple C++ templates. The package combines
 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector
 library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an
 efficient implementation of the applied Laplace approximation with exact
 derivatives. Key features are: Automatic sparseness detection, parallelism
 through 'BLAS' and parallel user templates.