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About ADMB and TMB
The ADMB project supports the application of
automatic differentiation (AD)
for solutions to non-linear statistical modeling and optimization problems.
AD Model Builder
, or ADMB, is a statistical application that implements AD using C++ classes and a native template language. ADMB can be
downloaded
and source code is available on
GitHub
. For further information, see this site and the ADMB paper:
Fournier, D.A., Skaug, H.J., Ancheta, J., Ianelli, J., Magnusson, A., Maunder, M.N., Nielsen, A., and Sibert, J. 2012. AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models. Optim. Methods Softw. 27:233-249.
Template Model Builder
, or TMB, is an R package that implements AD using C++ templates. TMB can be downloaded from
CRAN
and is developed on
GitHub
. For further information, see the
Wiki
and the TMB paper:
Kristensen, K., Nielsen, A., Berg, C.W., Skaug, H.J., and Bell, B.M. 2016. TMB: Automatic Differentiation and Laplace Approximation. J. Stat. Softw. 70(5):1-21.
The ADMB Project is supported by the
ADMB Foundation
Technical University of Denmark
National Center for Ecological Analysis and Synthesis
, and a grant from
NOAA Fisheries
to
CIMAR
News
ADMB-13.2 release
March 15, 2024
ADMB-13.2pre release
February 28, 2024
ADMB-13.1 release
December 23, 2022
ADMB-13.0 release
August 8, 2022
ADMB-12.3 release
March 7, 2021
ADMB-12.3pre2 release
February 25, 2021
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ADMB Foundation