predictor_terms: Predictor terms used in a 'project()' run

In paasim/glmproj: Projection Predictive Feature Selection

Predictor terms used in a project() run

Description

For a projection object (returned by project(), possibly as elements of a list), this function extracts the combination of predictor terms onto which the projection was performed.

Usage

predictor_terms(object, ...)

## S3 method for class 'projection'
predictor_terms(object, ...)

Arguments

object	An object of class projection (returned by project(), possibly as elements of a list) from which to retrieve the predictor terms.
...	Currently ignored.

Value

A character vector of predictor terms.

Examples

# Data:
dat_gauss <- data.frame(y = df_gaussian$y, df_gaussian$x)

# The `stanreg` fit which will be used as the reference model (with small
# values for `chains` and `iter`, but only for technical reasons in this
# example; this is not recommended in general):
fit <- rstanarm::stan_glm(
  y ~ X1 + X2 + X3 + X4 + X5, family = gaussian(), data = dat_gauss,
  QR = TRUE, chains = 2, iter = 500, refresh = 0, seed = 9876
)

# Projection onto an arbitrary combination of predictor terms (with a small
# value for `nclusters`, but only for the sake of speed in this example;
# this is not recommended in general):
prj <- project(fit, predictor_terms = c("X1", "X3", "X5"), nclusters = 10,
               seed = 9182)
print(predictor_terms(prj)) # gives `c("X1", "X3", "X5")`

paasim/glmproj documentation built on April 14, 2024, 5:30 p.m.