tidybayes: Tidy Data and 'Geoms' for Bayesian Models
Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models
('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided
to help extract tidy data frames of draws from Bayesian models and that generate point
summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for
common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus
densities), and fit curves with multiple, arbitrary uncertainty bands.
Version:
3.0.7
Depends:
R (≥ 4.0.0)
Imports:
methods,
ggdist (≥ 3.0.0),
dplyr (≥ 1.1.0),
tidyr (≥
1.0.0),
ggplot2 (≥ 3.3.5),
coda,
rlang (≥ 0.3.0),
arrayhelpers,
tidyselect,
tibble,
magrittr,
posterior (≥
1.0.1),
withr,
cli,
vctrs
Suggests:
knitr,
testthat,
purrr (≥ 0.2.3),
forcats,
vdiffr (≥
1.0.0),
svglite,
rstan (≥ 2.17.0),
rstantools (≥ 2.1.0),
runjags,
rjags,
jagsUI,
rstanarm (≥ 2.19.2),
emmeans,
broom (≥ 0.4.3),
MCMCglmm,
bayesplot,
modelr,
brms (≥ 2.16.0),
cowplot,
covr,
rmarkdown,
ggrepel,
bindrcpp,
RColorBrewer,
gganimate,
gifski,
png,
ragg,
pkgdown,
distributional,
transformr
Published:
2024年09月15日
Author:
Matthew Kay [aut, cre],
Timothy Mastny [ctb]
Maintainer:
Matthew Kay <mjskay at northwestern.edu>
NeedsCompilation:
no
Language:
en-US
Documentation:
Downloads:
Reverse dependencies:
Reverse imports:
BayesERtools,
BayesGrowth,
bennu,
fido,
INSPECTumours,
mcmsupply,
mcp,
ppcseq,
rcbayes,
reslr,
surveil,
tidytreatment,
trialr
Linking:
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