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") )
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]

Template Model Builder: A General Random Effect Tool Inspired by
'ADMB'
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("Alex","Forrence",role="ctb"),
person("Christoffer","Moesgaard Albertsen",role="ctb"),
person("Cole","Monnahan",role="ctb") )
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]
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.

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.