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.

Getting started

Package details

AuthorKasper 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]
MaintainerKasper Kristensen <kaskr@dtu.dk>
LicenseGPL-2
Version1.9.15
URL https://github.com/kaskr/adcomp/wiki
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("TMB")

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TMB documentation built on Sept. 11, 2024, 7:06 p.m.