Package: TMB
Type: Package
Title: Template Model Builder: A General Random Effect Tool Inspired by
        ADMB
Version: 1.7.0
Date: 2016-03-22
Authors@R: c(person("Kasper","Kristensen",role=c("aut","cre","cph"),email="kaskr@dtu.dk"),
             person("Brad","Bell",role="cph"),
             person("Hans","Skaug",role="ctb"),
             person("Arni","Magnusson",role="ctb"),
             person("Casper","Berg",role="ctb"),
             person("Anders","Nielsen",role="ctb"),
             person("Martin","Maechler",role="ctb"),
             person("Theo","Michelot",role="ctb"),
             person("Mollie","Brooks",role="ctb"),
             person("Cole","Monnahan",role="ctb") )
Maintainer: Kasper Kristensen <kaskr@dtu.dk>
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],
    Cole Monnahan [ctb]
Copyright: See the file COPYRIGHTS
Description: 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.
License: GPL-2
URL: http://tmb-project.org
BugReports: https://github.com/kaskr/adcomp/issues
Depends: R (>= 3.0.0)
Imports: graphics, methods, stats, utils, Matrix (>= 1.0-12)
LinkingTo: Matrix, RcppEigen
Suggests: numDeriv, parallel
RoxygenNote: 5.0.1
Packaged: 2016-03-22 08:22:45 UTC; kaskr
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2016-03-25 14:27:04
