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:Joaquín Martínez-Minaya [aut, cre], Finn Lindgren [aut]

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dirinla.pdf |dirinla.html✨
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NEWS

Peer review:

Bug tracker:https://github.com/inlabru-org/dirinla/issues

On CRAN:

10 exports 4 stars 0.61 score 55 dependencies 13 scripts

Last updated 2 years agofrom:88d9d4222e. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:data_stack_dirichdata_stack_dirich_formuladirichlet_log_pos_xdirinla_safe_inladirinlaregdirinlaregmodelextract_fixedextract_linear_predictorformula_listsummary_fast

Dependencies:bayesmclicolorspacecompositionsDEoptimRdplyrfansifarvergenericsggplot2ggterngluegridExtragtablehexbinisobandlabelinglatex2explatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigplyrprotopurrrR6RColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastRfast2rlangRnanoflannrobustbasesamplingDataCRTscalesstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr