TMB
Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.9.21 |
2026-04-09 windows/windows R-4.5 | TMB_1.9.21.zip |
1.2 MiB |