tel.mean: Compute triangular array empirical likelihood for...
In markean/bayesEL: Bayesian Empicial Likelihood

Compute triangular array empirical likelihood for mean

1	tel.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 "tel"

1
2
3

theta <- c(0, 0)
x <- matrix(rnorm(100), ncol = 2)
tel.mean(theta, x)

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

markean/bayesEL index

README.md

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Description