r-cran-tmb binary package in Ubuntu Kinetic amd64
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.
Publishing history
Date | Status | Target | Component | Section | Priority | Phased updates | Version | ||
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2022-08-23 11:59:02 UTC | Published | Ubuntu Kinetic amd64 | release | universe | gnu-r | Optional | 1.9.1-1 | ||
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Deleted | Ubuntu Kinetic amd64 | proposed | universe | gnu-r | Optional | 1.9.1-1 | |||
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2022-08-23 11:59:15 UTC | Superseded | Ubuntu Kinetic amd64 | release | universe | gnu-r | Optional | 1.9.0-1 | ||
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2022-08-24 12:10:11 UTC | Deleted | Ubuntu Kinetic amd64 | proposed | universe | gnu-r | Optional | 1.9.0-1 | ||
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2022-07-16 15:13:52 UTC | Superseded | Ubuntu Kinetic amd64 | release | universe | gnu-r | Optional | 1.8.1-1build1 | ||
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2022-07-17 18:10:09 UTC | Deleted | Ubuntu Kinetic amd64 | proposed | universe | gnu-r | Optional | 1.8.1-1build1 | ||
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2022-05-15 23:14:08 UTC | Superseded | Ubuntu Kinetic amd64 | proposed | universe | gnu-r | Optional | 1.8.1-1 | ||
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2022-05-20 09:56:06 UTC | Superseded | Ubuntu Kinetic amd64 | release | universe | gnu-r | Optional | 1.7.22-2 | ||
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