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