bayes_R2 | R Documentation |
For detail refer to: Andrew Gelman, Ben Goodrich, Jonah Gabry, and Aki Vehtari (2018). R-squared for Bayesian regression models. The American Statistician \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/00031305.2018.1549100")} and https://avehtari.github.io/bayes_R2/bayes_R2.html
## S3 method for class 'cumhist'
bayes_R2(object, summary = TRUE, probs = c(0.055, 0.945), ...)
object |
An object of class cumhist |
summary |
Whether summary statistics should be returned instead of
raw sample values. Defaults to |
probs |
The percentiles used to compute summary, defaults to 89% credible interval. |
... |
Unused. |
vector of values or a data.frame with summary
br_fit <- fit_cumhist(br_singleblock, state = "State", duration = "Duration")
bayes_R2(br_fit)
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