el.mean: Compute empirical likelihood for mean
In markean/bayesEL: Bayesian Empicial Likelihood

Compute empirical likelihood for mean

1	el.mean(theta, x, abstol = 1e-08, maxit = 50)

`theta`	a vector of parameters to be tested.
`x`	a matrix or vector of data. Each row is an observation vector.
`abstol`	an optional value for the absolute convergence tolerance. Defaults to 1e-8.
`maxit`	an optional value for the maximum number of iterations. Defaults to 50.

An object with S3 class "el"

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theta <- 0
x <- rnorm(100)
el.mean(theta, x)

markean/bayesEL documentation built on Nov. 28, 2020, 11:32 p.m.

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