Package: yodel 1.0.0

Richard Payne

yodel: A General Bayesian Model Averaging Helper

Provides helper functions to perform Bayesian model averaging using Markov chain Monte Carlo samples from separate models. Calculates weights and obtains draws from the model-averaged posterior for quantities of interest specified by the user. Weight calculations can be done using marginal likelihoods or log-predictive likelihoods as in Ando, T., & Tsay, R. (2010) <doi:10.1016/j.ijforecast.2009.08.001>.

Authors:Richard Payne [aut, cre], Eli Lilly and Company [cph]

yodel_1.0.0.tar.gz
yodel_1.0.0.zip(r-4.5)yodel_1.0.0.zip(r-4.4)yodel_1.0.0.zip(r-4.3)
yodel_1.0.0.tgz(r-4.4-any)yodel_1.0.0.tgz(r-4.3-any)
yodel_1.0.0.tar.gz(r-4.5-noble)yodel_1.0.0.tar.gz(r-4.4-noble)
yodel_1.0.0.tgz(r-4.4-emscripten)yodel_1.0.0.tgz(r-4.3-emscripten)
yodel.pdf |yodel.html
yodel/json (API)
NEWS

# Install 'yodel' in R:
install.packages('yodel', repos = c('https://rich-payne.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rich-payne/yodel/issues

On CRAN:

4 exports 1.02 score 17 dependencies 1 dependents 180 downloads

Last updated 5 months agofrom:76d3eddc91. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winOKSep 14 2024
R-4.5-linuxOKSep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:bmamodel_bma_marginalmodel_bma_predictiveposterior

Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigpurrrR6rlangtibbletidyselectutf8vctrswithr