tidy.maxLik: tidy and glance methods for maxLik objects
In maxLik: Maximum Likelihood Estimation and Related Tools

Description Usage Arguments Value Author(s) See Also Examples

These methods return summary information about the estimated model. Both require the tibble package to be installed.

## S3 method for class 'maxLik'
tidy(x,  ...)
## S3 method for class 'maxLik'
glance(x, ...)

`x`	object of class 'maxLik'.
`...`	Not used.

For tidy(), a tibble with columns:

term: The name of the estimated parameter (parameters are sequentially numbered if names missing).
estimate: The estimated parameter.
std.error: The standard error of the estimate.
statistic: The z-statistic of the estimate.
p.value: The p-value.

This is essentially the same table as summary-method prints, just in form of a tibble (data frame).

For glance(), a one-row tibble with columns:

df: The degrees of freedom of the model.
logLik: The log-likelihood of the model.
AIC: Akaike's Information Criterion for the model.
nobs: The number of observations, if this is available, otherwise NA.

David Hugh-Jones

The functions tidy and glance in package generics, and summary to display the “standard” summary information.

## Example with a single parameter
t <- rexp(100, 2)
loglik <- function(theta) log(theta) - theta*t
a <- maxLik(loglik, start=2)
tidy(a)
glance(a)
## Example with a parameter vector
x <- rnorm(100)
loglik <- function(theta) {
   dnorm(x, mean=theta[1], sd=theta[2], log=TRUE)
}
a <- maxLik(loglik, start=c(mu=0, sd=1))
tidy(a)
glance(a)