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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 1.2 MB | linux-aarch64/r-tmb-1.9.17-r44haad8fdb_0.conda  5 months and 17 days ago 39 main
conda 1.1 MB | linux-aarch64/r-tmb-1.9.17-r43haad8fdb_0.conda  5 months and 17 days ago 52 main
conda 1.2 MB | linux-ppc64le/r-tmb-1.9.17-r44haf9defb_0.conda  5 months and 17 days ago 26 main
conda 1.2 MB | linux-ppc64le/r-tmb-1.9.17-r43haf9defb_0.conda  5 months and 17 days ago 25 main
conda 1.1 MB | win-64/r-tmb-1.9.17-r44hec15cfb_0.conda  5 months and 17 days ago 57 main
conda 1.1 MB | win-64/r-tmb-1.9.17-r43hec15cfb_0.conda  5 months and 17 days ago 55 main
conda 1.2 MB | osx-64/r-tmb-1.9.17-r44hda2d453_0.conda  5 months and 17 days ago 50 main
conda 1.2 MB | osx-64/r-tmb-1.9.17-r43hda2d453_0.conda  5 months and 17 days ago 67 main
conda 836.4 kB | osx-arm64/r-tmb-1.9.17-r44h9618d43_0.conda  5 months and 17 days ago 52 main
conda 834.1 kB | osx-arm64/r-tmb-1.9.17-r43h9618d43_0.conda  5 months and 17 days ago 57 main
conda 1.2 MB | linux-64/r-tmb-1.9.17-r44hc2d650c_0.conda  5 months and 17 days ago 1003 main
conda 1.2 MB | linux-64/r-tmb-1.9.17-r43hc2d650c_0.conda  5 months and 17 days ago 1394 main

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