mle-class {stats4} | R Documentation |

## Class `"mle"`

for Results of Maximum Likelihood Estimation

### Description

This class encapsulates results of a generic maximum
likelihood procedure.

### Objects from the Class

Objects can be created by calls of the form `new("mle", ...)`

, but
most often as the result of a call to `mle`

.

### Slots

`call`

:Object of class `"language"`

.
The call to `mle`

.

`coef`

:Object of class `"numeric"`

. Estimated
parameters.

`fullcoef`

:Object of class `"numeric"`

.
Full parameter set of fixed and estimated parameters.

`fixed`

:Object of class `"numeric"`

.
Fixed parameter values (`NA`

for non-fixed parameters).

`vcov`

:Object of class `"matrix"`

. Approximate
variance-covariance matrix.

`min`

:Object of class `"numeric"`

. Minimum value
of objective function.

`details`

:a `"list"`

, as returned from
`optim`

.

`minuslogl`

:Object of class `"function"`

. The
negative loglikelihood function.

`nobs`

:`"integer"`

of length one. The
number of observations (often `NA`

, when not set in call
explicitly).

`method`

:Object of class `"character"`

. The
optimization method used.

### Methods

- confint
`signature(object = "mle")`

: Confidence
intervals from likelihood profiles.

- logLik
`signature(object = "mle")`

: Extract maximized
log-likelihood.

- profile
`signature(fitted = "mle")`

: Likelihood profile
generation.

- nobs
`signature(object = "mle")`

: Number of
observations, here simply accessing the `nobs`

slot mentioned above.

- show
`signature(object = "mle")`

: Display object briefly.

- summary
`signature(object = "mle")`

: Generate object summary.

- update
`signature(object = "mle")`

: Update fit.

- vcov
`signature(object = "mle")`

: Extract
variance-covariance matrix.

[Package

*stats4* version 4.3.0

Index]