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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.

copied from cf-staging / r-tmb
Type Size Name Uploaded Downloads Labels
conda 1.1 MB | linux-ppc64le/r-tmb-1.9.6-r43hfc38db2_0.conda  2 years and 12 hours ago 235 main
conda 1.1 MB | linux-ppc64le/r-tmb-1.9.6-r42hfc38db2_0.conda  2 years and 12 hours ago 225 main
conda 1.1 MB | linux-aarch64/r-tmb-1.9.6-r42h003610b_0.conda  2 years and 13 hours ago 230 main
conda 1.1 MB | linux-aarch64/r-tmb-1.9.6-r43h003610b_0.conda  2 years and 13 hours ago 221 main
conda 1.0 MB | win-64/r-tmb-1.9.6-r41h78deb2a_0.conda  2 years and 4 days ago 644 main
conda 1.1 MB | osx-64/r-tmb-1.9.6-r42he9b8800_0.conda  2 years and 4 days ago 457 main
conda 1.1 MB | osx-64/r-tmb-1.9.6-r43he9b8800_0.conda  2 years and 4 days ago 475 main
conda 1.1 MB | linux-64/r-tmb-1.9.6-r43h08d816e_0.conda  2 years and 4 days ago 2006 main
conda 1.1 MB | linux-64/r-tmb-1.9.6-r42h08d816e_0.conda  2 years and 4 days ago 2486 main

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