bfsl (version 0.2.0)

augment.bfsl: Augment Data with Information from a bfsl Object

Description

Broom tidier method to augment data with information from a bfsl object.

Usage

# S3 method for bfsl
augment(x, data = x$data, newdata = NULL, ...)

Arguments

x

A `bfsl` object created by [bfsl::bfsl()]

data

A [base::data.frame()] or [tibble::tibble()] containing all the original predictors used to create x. Defaults to NULL, indicating that nothing has been passed to newdata. If newdata is specified, the data argument will be ignored.

newdata

A [base::data.frame()] or [tibble::tibble()] containing all the original predictors used to create x. Defaults to NULL, indicating that nothing has been passed to newdata. If newdata is specified, the data argument will be ignored.

...

Unused, included for generic consistency only.

Value

A [tibble::tibble()] with columns:

.fitted

Fitted or predicted value.

.se.fit

Standard errors of fitted values.

.resid

The residuals, that is y observations minus fitted values. (Only returned if newdata = NULL).

Examples

# NOT RUN {
fit = bfsl(pearson_york_data)

augment(fit)

# }