varsel.brmsfit: Projection Predictive Variable Selection

Description Usage Arguments Value Examples

View source: R/projpred.R

Description

Perform projection predictive variable selection with the projpred package. See varsel and cv_varsel for more details.

Usage

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## S3 method for class 'brmsfit'
varsel(object, ...)

## S3 method for class 'brmsfit'
cv_varsel(object, ...)

Arguments

object

A brmsfit object.

...

Further arguments passed to get_refmodel.brmsfit as well as varsel.refmodel or cv_varsel.refmodel.

Value

A vsel object for which several methods are available in the projpred package.

Examples

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## Not run: 
# fit a simple model
fit <- brm(count ~ zAge + zBase * Trt,
           data = epilepsy, family = poisson())
summary(fit)

# perform variable selection without cross-validation
vs <- varsel(fit)
summary(vs)
plot(vs)

# perform variable selection with cross-validation
cv_vs <- cv_varsel(fit)
summary(cv_vs)
plot(cv_vs)

## End(Not run)

brms documentation built on Aug. 23, 2021, 5:08 p.m.