loo_R2.brmsfit | R Documentation |
Compute a LOO-adjusted R-squared for regression models
## S3 method for class 'brmsfit'
loo_R2(
object,
resp = NULL,
summary = TRUE,
robust = FALSE,
probs = c(0.025, 0.975),
...
)
object |
An object of class |
resp |
Optional names of response variables. If specified, predictions are performed only for the specified response variables. |
summary |
Should summary statistics be returned
instead of the raw values? Default is |
robust |
If |
probs |
The percentiles to be computed by the |
... |
Further arguments passed to
|
If summary = TRUE
, an M x C matrix is returned
(M = number of response variables and c = length(probs) + 2
)
containing summary statistics of the LOO-adjusted R-squared values.
If summary = FALSE
, the posterior draws of the LOO-adjusted
R-squared values are returned in an S x M matrix (S is the number of draws).
## Not run:
fit <- brm(mpg ~ wt + cyl, data = mtcars)
summary(fit)
loo_R2(fit)
# compute R2 with new data
nd <- data.frame(mpg = c(10, 20, 30), wt = c(4, 3, 2), cyl = c(8, 6, 4))
loo_R2(fit, newdata = nd)
## End(Not run)
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