- r-base-core (>= 3.5.1-2)
- r-api-3.5
- r-cran-matrix (>= 1.0-12)
- libblas3 | libblas.so.3
- libc6 (>= 2.17)
- libgcc1 (>= 1:3.0)
- libgfortran5 (>= 8)
- libgomp1 (>= 4.2.1)
- liblapack3 | liblapack.so.3
- libstdc++6 (>= 5.2)
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.
Installed Size: 3.6 MB
Architectures: amd64 arm64