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TMB (Template Model Builder) is an R package for fitting statistical latent variable models to data. It is strongly inspired by ADMB. Unlike most other R packages the model is formulated in C++. This provides great flexibility, but requires some familiarity with the C/C++ programming language.

• TMB can calculate first and second order derivatives of the likelihood function by AD, or any objective function written in C++.
• The objective function (and its derivatives) can be called from R. Hence, parameter estimation via e.g. nlminb() is easy.
• The user can specify that the Laplace approximation should be applied to any subset of the function arguments.
  • Yields marginal likelihood in latent variable model.
• Standard deviations of any parameter, or derived parameter, obtained by the 'delta method'.
• Pre and post-processing of data done in R.
• TMB is based on state-of-the art software: CppAD, Eigen, ...

Links to other wikipages

• Code--snippets
• Development
• Documentation
• FAQ
• Papers-using-TMB
• Tutorial