TMB (1.7.12)

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.

Maintainer: Kasper Kristensen
Author(s): Kasper Kristensen [aut, cre, cph], Brad Bell [cph], Hans Skaug [ctb], Arni Magnusson [ctb], Casper Berg [ctb], Anders Nielsen [ctb], Martin Maechler [ctb], Theo Michelot [ctb], Mollie Brooks [ctb], Alex Forrence [ctb], Christoffer Moesgaard Albertsen [ctb], Cole Monnahan [ctb]

License: GPL-2

Uses: Matrix, numDeriv
Reverse depends: gllvm, tmbstan
Reverse suggests: adnuts, covafillr, parameters, sjPlot

Released about 2 years ago.