Summarize a fitted pic model.

Returns a structured summary of the fit: the family, penalty, selected \(\hat\lambda\), the problem dimensions, the number of selected variables, the intercept, and a table of the non-zero coefficients ordered by decreasing absolute value. Coefficients are returned on the original scale of X by default (pass standardized = TRUE for the internal standardized scale, matching fit$beta).

Usage

# S3 method for class 'pic'
summary(object, standardized = FALSE, ...)

Arguments

object

A fitted pic object.

standardized

Logical; if TRUE, summarize the standardized coefficients used internally. Default FALSE (original scale of X).

...

Unused; present for S3 method consistency.

Value

An object of class "summary.pic": a list with elements family, penalty, lambda, n_samples, n_features, df, intercept, standardized, and coefficients (a two-column data.frame of the non-zero coefficients).

Examples

data(QuickStartExample)
fit <- pic(QuickStartExample$X, QuickStartExample$y)
summary(fit)
#> pic fit summary
#>   family    : gaussian
#>   penalty   : lasso
#>   lambda    : 0.3099
#>   dimensions: n = 100, p = 30
#>   selected  : 5 / 30
#>   intercept : 0.006378
#> 
#>   Non-zero coefficients (original scale):
#>  variable coefficient
#>    gene_3     -0.7544
#>    gene_4     -0.6537
#>    gene_1     -0.4065
#>    gene_5      0.1422
#>    gene_2     -0.0502