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pass R CMD check sort of
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DESCRIPTION

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Package: rstanarm
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Type: Package
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Title: Bayesian Applied Regression Modeling via Stan
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Version: 2.32.1
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Date: 2024-01-15
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Version: 2.32.2
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Date: 2025-09-29
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Encoding: UTF-8
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Authors@R: c(person("Jonah", "Gabry", email = "jsg2201@columbia.edu", role = "aut"),
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person("Imad", "Ali", role = "ctb"),
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NeedsCompilation: yes
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URL: https://mc-stan.org/rstanarm/, https://discourse.mc-stan.org
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BugReports: https://github.com/stan-dev/rstanarm/issues
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RoxygenNote: 7.3.2
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RoxygenNote: 7.3.3

NAMESPACE

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S3method(fixef,stanreg)
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S3method(formula,stanmvreg)
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S3method(formula,stanreg)
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S3method(get_x,betareg)
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S3method(get_x,default)
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S3method(get_x,gamm4)
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S3method(get_x,lmerMod)

R/bayes_R2.R

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#' sample size (the posterior distribution of R-squared).
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#'
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#' @references
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#' Andrew Gelman, Ben Goodrich, Jonah Gabry, and Aki Vehtari (2018). R-squared
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#' Andrew Gelman, Ben Goodrich, Jonah Gabry, and Aki Vehtari (2019). R-squared
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#' for Bayesian regression models. \emph{The American Statistician}, to appear.
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#' \doi{10.1080/00031305.2018.1549100}
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#' (\href{http://www.stat.columbia.edu/~gelman/research/published/bayes_R2_v3.pdf}{Preprint},
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#' (\href{https://www.tandfonline.com/doi/abs/10.1080/00031305.2018.1549100}{Article},
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#' \href{https://avehtari.github.io/bayes_R2/bayes_R2.html}{Notebook})
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#'
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#' @examples

R/doc-datasets.R

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#' generalizations. \emph{Journal of the American Statistical Association}
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#' \strong{70}(350), 311--319.
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#'
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#' @templateVar armRef \url{https://stat.columbia.edu/~gelman/arm/}
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#' @templateVar armRef \url{https://sites.stat.columbia.edu/gelman/arm/}
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#' @template reference-gelman-hill
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#'
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#' @references

R/doc-rstanarm-package.R

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#' question about \pkg{rstanarm} on the Stan-users forum.
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#' }
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#'
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#' @templateVar armRef \url{https://stat.columbia.edu/~gelman/arm/}
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#' @templateVar bdaRef \url{https://stat.columbia.edu/~gelman/book/}
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#' @templateVar armRef \url{https://sites.stat.columbia.edu/gelman/arm/}
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#' @templateVar bdaRef \url{https://sites.stat.columbia.edu/gelman/book/}
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#' @template reference-lme4
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#' @template reference-bda
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#' @template reference-gelman-hill

R/pp_check.R

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if (!is.null(xvar)) {
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dots[["x"]] <- .ppc_xvar(object, xvar, m = m)
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} else {
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if (funname %in% c("ppc_intervals", "ppc_ribbon")) {
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if (funname %in% c("ppc_intervals", "ppc_ribbon", "ppc_error_binned")) {
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message("'x' not specified in '...'. Using x=1:length(y).")
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dots[["x"]] <- seq_along(y)
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} else {

man/bayes_R2.stanreg.Rd

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man/launch_shinystan.stanreg.Rd

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man/loo.stanreg.Rd

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man/plot.stanreg.Rd

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