Internals Safely Make Workflow for GEE Linear Regression

Safely Make a workflow from a model spec tibble.

Usage

internal_make_wflw_gee_lin_reg(.model_tbl, .rec_obj)

Arguments

.model_tbl

The model table that is generated from a function like fast_regression_parsnip_spec_tbl(), must have a class of "tidyaml_mod_spec_tbl".

.rec_obj

The recipe object that is going to be used to make the workflow object.

Value

A list object of workflows.

Details

Create a model specification tibble that has a workflows::workflow() list column.

See also

Other Internals: internal_make_fitted_wflw(), internal_make_spec_tbl(), internal_make_wflw(), internal_make_wflw_predictions(), internal_set_args_to_tune(), make_classification_base_tbl(), make_regression_base_tbl()

Author

Steven P. Sanderson II, MPH

Examples

library(dplyr)
library(recipes)
library(multilevelmod)

mod_tbl <- make_regression_base_tbl()
mod_tbl <- mod_tbl |>
  filter(
  .parsnip_engine %in% c("gee") &
  .parsnip_fns == "linear_reg"
  )

class(mod_tbl) <- c("tidyaml_mod_spec_tbl", class(mod_tbl))
mod_spec_tbl <- internal_make_spec_tbl(mod_tbl)
rec_obj <- recipe(mpg ~ ., data = mtcars)

internal_make_wflw_gee_lin_reg(mod_spec_tbl, rec_obj)
#> [[1]]
#> ══ Workflow ════════════════════════════════════════════════════════════════════
#> Preprocessor: Variables
#> Model: linear_reg()
#> 
#> ── Preprocessor ────────────────────────────────────────────────────────────────
#> Outcomes: outcome_var
#> Predictors: predictor_vars
#> 
#> ── Model ───────────────────────────────────────────────────────────────────────
#> Linear Regression Model Specification (regression)
#> 
#> Computational engine: gee 
#> 
#>