# 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`:
  Object of class `"list"`. List returned from `optim`.
`minuslogl`:
  Object of class `"function"`. The negative loglikelihood function.
`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.
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 2.6.0 Index]