Pakket: r-cran-tmb (1.7.15-1)
Verwijzigingen voor r-cran-tmb
Debian bronnen:
Het bronpakket r-cran-tmb downloaden:
Beheerders:
Externe bronnen:
- Homepage [cran.r-project.org]
Vergelijkbare pakketten:
GNU R template model builder: general random effect tool
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.
Andere aan r-cran-tmb gerelateerde pakketten
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- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- of libblas.so.3
- virtueel pakket geboden door libatlas3-base, libblas3, libblis2-openmp, libblis2-pthread, libblis2-serial, libopenblas-base
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- dep: libc6 (>= 2.14) [amd64]
- GNU C Bibliotheek: Gedeelde bibliotheken
Ook een virtueel pakket geboden door: libc6-udeb
- dep: libc6 (>= 2.17) [arm64]
- dep: libc6 (>= 2.4) [armhf, i386]
-
- dep: libgcc1 (>= 1:3.0) [niet armhf]
- GCC support bibliotheek
- dep: libgcc1 (>= 1:3.5) [armhf]
-
- dep: libgfortran5 (>= 8)
- Runtime library for GNU Fortran applications
-
- dep: libgomp1 (>= 4.2.1)
- GCC OpenMP (GOMP) support library
-
- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- of liblapack.so.3
- virtueel pakket geboden door libatlas3-base, liblapack3, libopenblas-base
-
- dep: libquadmath0 (>= 4.6) [amd64, i386]
- GCC Quad-Precision Math Library
-
- dep: libstdc++6 (>= 5.2)
- GNU Standard C++ Library v3
-
- dep: r-api-3.5
- virtueel pakket geboden door r-base-core
-
- dep: r-base-core (>= 3.5.1-2)
- GNU R core of statistical computation and graphics system
-
- dep: r-cran-matrix (>= 1.0-12)
- GNU R package of classes for dense and sparse matrices
-
- sug: r-cran-numderiv
- GNU R package for accurate numerical derivatives