Print a bgam fit

Prints a compact summary of a fitted component-wise P-spline boosting model: the call, family, sample size, number of base-learners, boosting parameters (mstop, nu, nknots, degree, dpen, df_target), CV-selected mstop_opt (when autotune = TRUE), bagging info (when n.boot > 0), the top-5 predictors ranked by selection frequency, and the residual sigma for gaussian fits.

Usage

# S3 method for class 'bgam'
print(x, digits = max(3L, getOption("digits") - 3L), ...)

Arguments

x

An object of class "bgam", as returned by bgam().

digits

Number of significant digits for numeric output. Default max(3L, getOption("digits") - 3L).

...

Currently ignored.

Value

Invisibly returns x.

See also

bgam(), summary.bgam(), plot.bgam()

Examples

set.seed(1)
n <- 200
x <- matrix(rnorm(n * 4), n, 4)
y <- sin(x[, 1]) + 0.5 * x[, 2]^2 + rnorm(n, sd = 0.5)
fit <- bgam(x, y, mstop = 50, autotune = FALSE)
print(fit)
#> Call:
#> bgam.default(x = x, y = y, mstop = 50, autotune = FALSE)
#> 
#> bgam fit:  family = gaussian 
#>   n = 200   p (predictors) = 4 
#>   mstop = 50   nu = 0.1 
#>   nknots = 20   degree = 3   dpen = 2   df_target = 4 
#> 
#> Top-5 predictors by selection frequency:
#>    V2           : 0.64 
#>    V1           : 0.36 
#>    V3           : 0 
#>    V4           : 0 
#> 
#> Residual sigma: 0.58