logLik: log likelihood function for fitted ordinis objects

In jaredhuling/ordinis: Fits penalized regression models with coordinate descent

Description

log likelihood function for fitted ordinis objects

Usage

## S3 method for class 'ordinis'
logLik(object, REML = FALSE, ...)

Arguments

object	fitted "ordinis" model object.
REML	an optional logical value. If TRUE the restricted log-likelihood is returned, else, if FALSE, the log-likelihood is returned. Defaults to FALSE.
...	not used

Examples

set.seed(123)
n.obs <- 200
n.vars <- 500

true.beta <- c(runif(15, -0.25, 0.25), rep(0, n.vars - 15))
x <- matrix(rnorm(n.obs * n.vars), n.obs, n.vars)
y <- rnorm(n.obs, sd = 3) + x %*% true.beta

fit <- ordinis(x = x, y = y)

logLik(fit)

jaredhuling/ordinis documentation built on May 23, 2019, 4:03 a.m.