summary.eNetXplorer: generates list of model statistics

In juliancandia/eNetXplorer: Quantitative Exploration of Elastic Net Families for Generalized Linear Models

generates list of model statistics

Description

This function generates a standard list of model statistics. For each alpha, it contains the best value of lambda (obtained by maximizing a quality function over out-of-bag instances), the corresponding maximum value of the quality function, and the model significance (p-value based on comparison to permutation null models).

Usage

## S3 method for class 'eNetXplorer'
summary(object, ...)

Arguments

object	eNetXplorer object.
...	Additional parameters.

Value

alpha	Vector of alpha values.
best_lambda	Best lambda obtained by maximization of the quality function.
model_QF_est	Maximum of the quality function.
QF_model_vs_null_pval	P-value from model vs null comparison to assess statistical significance.

Author(s)

Julian Candia and John S. Tsang
Maintainer: Julian Candia [e-mail]

See Also

eNetXplorer

Examples

data(QuickStartEx)
fit = eNetXplorer(x=QuickStartEx$predictor,y=QuickStartEx$response,
family="gaussian",n_run=20,n_perm_null=10,seed=111)
summary(fit)

juliancandia/eNetXplorer documentation built on May 11, 2023, 1:59 a.m.