summary.agnostic.lm: Summarizing Agnostic Linear Model Fits

In vcoscrato/agnostic: Agnostic hyothesis testing

Description

Summarizing Agnostic Linear Model Fits

Usage

## S3 method for class 'agnostic.lm'
summary(object, alpha = 0.05, beta = 0.05, d = NULL,
  plot.power = FALSE, correlation = FALSE, symbolic.cor = FALSE, ...)

Arguments

object	an object of class "agnostic.lm", usually, a result of a call to agnostic.lm.
alpha	probability of type I error.
beta	probability of type II error.
d	a vector indicating the desired Cohen's effect size where the probability of type II error is beta for each parameter. 0 by default.
plot.power	logical ; if TRUE, draws the power function for the tests.
correlation	logical; if TRUE, the correlation matrix of the estimated parameters is returned and printed.
symbolic.cor	logical; if TRUE, print the correlations in a symbolic form (see symnum) rather than as numbers.
...	further arguments passed to or from other methods.

Value

A list countaining various metrics from a agnostic linear model fit, there is a print method availiable for this.

Examples

mod1 <- agnostic.lm(rnorm(100) ~ rexp(100))
summary(mod1)

vcoscrato/agnostic documentation built on April 4, 2020, 11:27 a.m.