el_aov: Analysis of variance with empirical likelihood

In elgbd: Empirical Likelihood for General Block Designs

Analysis of variance with empirical likelihood

Description

Fits an one-way analysis of variance model with empirical likelihood.

Usage

el_aov(formula, data, maxit = 10000, abstol = 1e-08)

Arguments

formula	An object of class formula (or one that can be coerced to that class) for a symbolic description of the model to be fitted. It must specify the variables for response and treatment as response ~ treatment.
data	A data frame containing the variables in formula.
maxit	A single integer for the maximum number of iterations for optimization. Defaults to 10000.
abstol	A single numeric for the absolute convergence tolerance for optimization. Defaults to 1e-08.

Value

A list containing the model fit and optimization results.

References

Owen, A (1991). "Empirical Likelihood for Linear Models." The Annals of Statistics, 19(4), 1725–1747. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1214/aos/1176348368")}.

Examples

data("clothianidin")
el_aov(clo ~ trt, clothianidin)

elgbd documentation built on May 29, 2024, 4:02 a.m.