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: | 1.7.12 |
| Depends: | R (≥ 3.0.0) |
| Imports: | graphics, methods, stats, utils, Matrix (≥ 1.0-12) |
| LinkingTo: | Matrix, RcppEigen |
| Suggests: | numDeriv, parallel |
| Published: | 2017-12-11 |
| 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 dtu.dk> |
| BugReports: | https://github.com/kaskr/adcomp/issues |
| License: | GPL-2 |
| Copyright: | See the file COPYRIGHTS TMB copyright details |
| URL: | http://tmb-project.org |
| NeedsCompilation: | yes |
| Citation: | TMB citation info |
| Materials: | NEWS |
| CRAN checks: | TMB results |
| Reference manual: | TMB.pdf |
| Package source: | TMB_1.7.12.tar.gz |
| Windows binaries: | r-devel: TMB_1.7.12.zip, r-release: TMB_1.7.12.zip, r-oldrel: TMB_1.7.12.zip |
| OS X El Capitan binaries: | r-release: TMB_1.7.12.tgz |
| OS X Mavericks binaries: | r-oldrel: TMB_1.7.12.tgz |
| Old sources: | TMB archive |
| Reverse depends: | gllvm, tmbstan |
| Reverse imports: | glmmTMB, marked |
| Reverse linking to: | gllvm, glmmTMB, tmbstan |
| Reverse suggests: | adnuts, covafillr |
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