summary.fic {fic} | R Documentation |
Summarise focused model comparison results
Description
Summarise focused model comparison results
Usage
## S3 method for class 'fic'
summary(object, tidy = TRUE, adj = FALSE, ...)
Arguments
object |
Object returned by |
tidy |
If |
adj |
The optimal model is the one with the lowest root mean square error (RMSE). If |
... |
Other arguments, currently unused. |
Value
A list of two components, one for the optimal model per focus, and one for the range of focus and RMSE estimates over models.
See Also
ggplot_fic
, plot.fic
for a more detailed visual representation of the focused comparison
Examples
## Example from the main vignette, see there for more details
wide.glm <- glm(low ~ lwtkg + age + smoke + ht + ui + smokeage + smokeui,
data=birthwt, family=binomial)
vals.smoke <- c(1, 58.24, 22.95, 1, 0, 0, 22.95, 0)
vals.nonsmoke <- c(1, 59.50, 23.43, 0, 0, 0, 0, 0)
X <- rbind("Smokers" = vals.smoke, "Non-smokers" = vals.nonsmoke)
inds0 <- c(1,1,0,0,0,0,0,0)
combs <- all_inds(wide.glm, inds0)
ficres <- fic(wide = wide.glm, inds = combs, inds0 = inds0,
focus = prob_logistic, X = X)
ggplot_fic(ficres)
summary(ficres)