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.

Version: 1.7.11
Depends: R (≥ 3.0.0)
Imports: graphics, methods, stats, utils, Matrix (≥ 1.0-12)
LinkingTo: Matrix, RcppEigen
Suggests: numDeriv, parallel
Published: 2017-08-09
Author: 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]
Maintainer: Kasper Kristensen <kaskr at>
License: GPL-2
Copyright: See the file COPYRIGHTS
TMB copyright details
NeedsCompilation: yes
Citation: TMB citation info
Materials: NEWS
CRAN checks: TMB results


Reference manual: TMB.pdf
Package source: TMB_1.7.11.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: TMB_1.7.11.tgz
OS X Mavericks binaries: r-oldrel: TMB_1.7.11.tgz
Old sources: TMB archive

Reverse dependencies:

Reverse imports: glmmTMB, marked
Reverse linking to: glmmTMB
Reverse suggests: covafillr


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