Package: dirinla 1.0.5.9001
Joaquín Martínez-Minaya
dirinla: Hierarchical Bayesian Dirichlet regression models using Integrated Nested Laplace Approximation
The R-package dirinla allows the user to fit models in the compositional data context. In particular, it allows fit Dirichlet regression models using the Integrated Nested Laplace Approximation (INLA) methodology.
Authors:
dirinla_1.0.5.9001.tar.gz
dirinla_1.0.5.9001.zip(r-4.7)dirinla_1.0.5.9001.zip(r-4.6)dirinla_1.0.5.9001.zip(r-4.5)
dirinla_1.0.5.9001.tgz(r-4.6-any)dirinla_1.0.5.9001.tgz(r-4.5-any)
dirinla_1.0.5.9001.tar.gz(r-4.7-any)dirinla_1.0.5.9001.tar.gz(r-4.6-any)
dirinla_1.0.5.9001.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dirinla/json (API)
NEWS
| # Install 'dirinla' in R: |
| install.packages('dirinla', repos = c('https://inlabru-org.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/inlabru-org/dirinla/issues
Pkgdown/docs site:https://inlabru-org.github.io
Last updated from:db1b64eab3. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 208 | ||
| source / vignettes | OK | 242 | ||
| linux-release-x86_64 | NOTE | 229 | ||
| macos-release-arm64 | NOTE | 162 | ||
| macos-oldrel-arm64 | NOTE | 124 | ||
| windows-devel | NOTE | 221 | ||
| windows-release | NOTE | 175 | ||
| windows-oldrel | NOTE | 162 | ||
| wasm-release | OK | 173 |
Exports:data_stack_dirichdata_stack_dirich_formuladirichlet_log_pos_xdirinla_safe_inladirinlaregdirinlaregmodelextract_fixedextract_linear_predictorformula_listsummary_fast
Dependencies:bayesmBHclicompositionscpp11DEoptimRdplyrfarvergenericsggplot2ggterngluegridExtragtablehexbinisobandlabelinglatex2explatticelifecyclemagrittrMASSMatrixpillarpkgconfigplyrprotopurrrR6RColorBrewerRcppRcppArmadilloRcppParallelRfastRfast2rlangRnanoflannrobustbaseS7scalesstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithrzigg
