Package: dirinla 1.0.5.9000
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_1.0.5.9000.tar.gz
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dirinla.pdf |dirinla.html✨
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
Last updated 1 days agofrom:ae71089e0a. Checks:OK: 1 NOTE: 5 ERROR: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-win | NOTE | Nov 21 2024 |
| R-4.5-linux | NOTE | Nov 21 2024 |
| R-4.4-win | NOTE | Nov 21 2024 |
| R-4.4-mac | NOTE | Nov 21 2024 |
| R-4.3-win | NOTE | Nov 21 2024 |
| R-4.3-mac | ERROR | Nov 21 2024 |
Exports:data_stack_dirichdata_stack_dirich_formuladirichlet_log_pos_xdirinla_safe_inladirinlaregdirinlaregmodelextract_fixedextract_linear_predictorformula_listsummary_fast
Dependencies:bayesmclicolorspacecompositionsDEoptimRdplyrfansifarvergenericsggplot2ggterngluegridExtragtablehexbinisobandlabelinglatex2explatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigplyrprotopurrrR6RColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastRfast2rlangRnanoflannrobustbasesamplingDataCRTscalesstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr
