print.addHierBasis: Print the coefficients of fitted models.

In asadharis/HierBasis: Nonparametric Regression and Sparse Additive Modeling

Description

Print the coefficients of fitted models.

Usage

## S3 method for class 'addHierBasis'
print(x, lam.index = NULL, digits = 3, ...)

Arguments

x	A fitted model, an object of class addHierBasis.
lam.index	Specify the lambda indices to view. If NULL then all lambda values are shown.
digits	The significant figures printed.
...	Not used, extra arguments to print.

Author(s)

Asad Haris ([e-mail]), Ali Shojaie and Noah Simon

References

Haris, A., Shojaie, A. and Simon, N. (2018). Nonparametric Regression with Adaptive Smoothness via a Convex Hierarchical Penalty. Available on request by authors.

See Also

AdditiveHierBasis, view.model.addHierBasis

Examples

require(Matrix)

set.seed(1)

# Generate the points x.
n <- 100
p <- 30

x <- matrix(rnorm(n*p), ncol = p)

# A simple model with 3 non-zero functions.
y <- rnorm(n, sd = 0.1) + sin(x[, 1]) + x[, 2] + (x[, 3])^3

mod <- AdditiveHierBasis(x, y, nbasis = 50, max.lambda = 30)
print(mod, lam.index = 30)

asadharis/HierBasis documentation built on Aug. 3, 2021, 4:16 p.m.