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TMB  

Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'
View on CRAN: Click here


Download and install TMB package within the R console
Install from CRAN:
install.packages("TMB")

Install from Github:
library("remotes")
install_github("cran/TMB")

Install by package version:
library("remotes")
install_version("TMB", "1.9.11")



Attach the package and use:
library("TMB")
Maintained by
Kasper Kristensen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-10-15
Latest Update: 2023-12-12
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.
How to cite:
Kasper Kristensen (2015). TMB: Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'. R package version 1.9.11, https://cran.r-project.org/web/packages/TMB
Previous versions and publish date:
1.6.1 (2015-10-15 15:18), 1.6.2 (2015-10-19 18:07), 1.6.5 (2015-12-03 13:05), 1.6.6 (2016-01-30 10:17), 1.7.0 (2016-03-25 14:27), 1.7.2 (2016-08-09 13:53), 1.7.4 (2016-09-21 11:25), 1.7.5 (2016-11-21 12:01), 1.7.6 (2017-01-16 00:03), 1.7.7 (2017-02-01 08:52), 1.7.8 (2017-02-09 00:47), 1.7.9 (2017-04-12 16:52), 1.7.10 (2017-05-05 23:27), 1.7.11 (2017-08-09 22:42), 1.7.12 (2017-12-11 13:14), 1.7.13 (2018-03-22 22:07), 1.7.14 (2018-06-23 14:02), 1.7.15 (2018-11-09 17:40), 1.7.16 (2020-01-15 14:30), 1.7.17 (2020-07-23 19:20), 1.7.18 (2020-07-27 07:10), 1.7.19 (2021-02-05 18:30), 1.7.20 (2021-04-08 14:20), 1.7.21 (2021-09-06 18:50), 1.7.22 (2021-09-28 11:30), 1.8.0 (2022-03-07 18:40), 1.8.1 (2022-03-23 15:50), 1.9.0 (2022-05-27 14:40), 1.9.1 (2022-08-16 20:00), 1.9.2 (2023-01-23 18:30), 1.9.3 (2023-03-28 17:30), 1.9.4 (2023-04-18 15:50), 1.9.5 (2023-07-18 20:10), 1.9.6 (2023-08-11 14:44), 1.9.7 (2023-11-22 01:40), 1.9.8 (2023-11-27 16:20), 1.9.9 (2023-11-28 08:19), 1.9.10 (2023-12-12 17:40)
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