R: Class '"mle"' for Results of Maximum Likelihood Estimation

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"`. Fixed and estimated 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 3.1.2 Index]