conda-forge / packages / r-tmb

• 0

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

• Conda
• Files
• Labels
• Badges

Filters

Type: All

• All
• conda

Version: All

• All
• 1.9.17
• 1.9.16
• 1.9.15
• 1.9.14
• 1.9.13
• 1.9.12
• 1.9.11
• 1.9.10
• 1.9.9
• 1.9.8
• 1.9.7
• 1.9.6
• 1.9.5
• 1.9.4
• 1.9.3
• 1.9.2
• 1.9.1
• 1.9.0
• 1.8.1
• 1.8.0
• 1.7.22
• 1.7.21
• 1.7.20
• 1.7.19
• 1.7.18
• 1.7.17
• 1.7.16
• 1.7.15
• 1.7.14
• 1.7.11

Label: All

• All
• Files with no label
• cf201901
• cf202003
• gcc7
• main