| tidy.maxLik {maxLik} | R Documentation |
tidy and glance methods for maxLik objects
Description
These methods return summary information about the estimated model. Both require the tibble package to be installed.
Usage
## S3 method for class 'maxLik'
tidy(x, ...)
## S3 method for class 'maxLik'
glance(x, ...)
Arguments
x |
object of class 'maxLik'. |
... |
Not used. |
Value
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.
Author(s)
David Hugh-Jones
See Also
The functions tidy and
glance in package generics, and
summary to display the
“standard” summary information.
Examples
## 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)