Showing 3 of total 3 results (show query)
daijiang
phyr:Model Based Phylogenetic Analysis
A collection of functions to do model-based phylogenetic analysis. It includes functions to calculate community phylogenetic diversity, to estimate correlations among functional traits while accounting for phylogenetic relationships, and to fit phylogenetic generalized linear mixed models. The Bayesian phylogenetic generalized linear mixed models are fitted with the 'INLA' package (<https://www.r-inla.org>).
Maintained by Daijiang Li. Last updated 1 years ago.
bayesianglmminlaphylogenyspecies-distribution-modelingopenblascpp
31 stars 8.71 score 107 scripts 2 dependents
giabaio
survHE:Survival Analysis in Health Economic Evaluation
Contains a suite of functions for survival analysis in health economics. These can be used to run survival models under a frequentist (based on maximum likelihood) or a Bayesian approach (both based on Integrated Nested Laplace Approximation or Hamiltonian Monte Carlo). To run the Bayesian models, the user needs to install additional modules (packages), i.e. 'survHEinla' and 'survHEhmc'. These can be installed using 'remotes::install_github' from their GitHub repositories: (<https://github.com/giabaio/survHEhmc> and <https://github.com/giabaio/survHEinla/> respectively). 'survHEinla' is based on the package INLA, which is available for download at <https://inla.r-inla-download.org/R/stable/>. The user can specify a set of parametric models using a common notation and select the preferred mode of inference. The results can also be post-processed to produce probabilistic sensitivity analysis and can be used to export the output to an Excel file (e.g. for a Markov model, as often done by modellers and practitioners). <doi:10.18637/jss.v095.i14>.
Maintained by Gianluca Baio. Last updated 26 days ago.
frequentisthamiltonian-monte-carlohealth-economic-evaluationinlaplotting-survival-curvesrstansurvival-analysissurvival-modelsuncertaintyopenjdk
42 stars 6.88 score 2 dependents
inbo
inlatools:Diagnostic Tools for INLA Models
Several functions which can be useful to choose sensible priors and diagnose the fitted model.
Maintained by Thierry Onkelinx. Last updated 6 months ago.
bayesian-statisticsgplv3inlamixed-modelsmodel-checkingmodel-validation
4 stars 4.41 score 43 scripts