summary.fic: Summarise focused model comparison results

In fic: Focused Information Criteria for Model Comparison

Description

Summarise focused model comparison results

Usage

## S3 method for class 'fic'
summary(object, tidy = TRUE, adj = FALSE, ...)

Arguments

object	Object returned by fic representing focused model comparison statistics for a range of models, and potentially also multiple focus quantities.
tidy	If TRUE (the default) then the results describing the optimal model (per focus) are returned as a data frame, with the names of the parameters in the optimal model collapsed into a single string. If FALSE, the results are returned as a list, including a vector of parameter names.
adj	The optimal model is the one with the lowest root mean square error (RMSE). If adj=TRUE the RMSE is based on the adjusted bias estimator. Otherwise the standard estimator is used.
...	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)

fic documentation built on May 1, 2019, 7:55 p.m.