Formatted model coefficients table — tl_table

Produces a styled gt table of model coefficients. Supports linear, polynomial, logistic, ridge, lasso, and elastic net models.

Usage

tl_table_coefficients(model, lambda = "1se", digits = 4, ...)

Arguments

model: A tidylearn model object
lambda: For regularised models: "1se" (default) or "min"
digits: Number of decimal places (default: 4)
...: Additional arguments (currently unused)

Value

A gt table object.

Examples

# \donttest{
model <- tl_model(mtcars, mpg ~ wt + hp, method = "linear")
tl_table_coefficients(model)


  Linear Model Coefficients
    
Term
      Estimate
      Std. Error
      t value
      p
      
    
(Intercept)
37.2273
1.5988
23.2847
2.57 × 10⁻²⁰
*
wt
−3.8778
0.6327
−6.1287
1.12 × 10⁻⁶
*
hp
−0.0318
0.0090
−3.5187
1.45 × 10⁻³
*
tidylearn | linear (regression) | mpg ~ wt + hp | n = 32
    
# }

Term	Estimate	Std. Error	t value	p
Linear Model Coefficients
(Intercept)	37.2273	1.5988	23.2847	2.57 × 10⁻²⁰	*
wt	−3.8778	0.6327	−6.1287	1.12 × 10⁻⁶	*
hp	−0.0318	0.0090	−3.5187	1.45 × 10⁻³	*
tidylearn \| linear (regression) \| mpg ~ wt + hp \| n = 32