# vcov

##### Calculate Variance-Covariance Matrix for a Fitted Model Object

Returns the variance-covariance matrix of the main parameters of a fitted model object.

##### Usage

`vcov(object, ...)`

##### Arguments

##### Details

This is a generic function.
Functions with names beginning in `vcov.`

will be
methods for this function.
Classes with methods for this function include:
`lm`

, `mlm`

, `glm`

, `nls`

,
`summary.lm`

, `summary.glm`

,
`negbin`

, `polr`

, `rlm`

(in package `multinom`

(in package `gls`

, `lme`

(in package `coxph`

and `survreg`

(in package

(`vcov()`

methods for summary objects allow more
efficient and still encapsulated access when both
`summary(mod)`

and `vcov(mod)`

are needed.)

##### Value

- A matrix of the estimated covariances between the parameter estimates
in the linear or non-linear predictor of the model. This should have
row and column names corresponding to the parameter names given by the
`coef`

method.

*Documentation reproduced from package stats, version 3.3, License: Part of R 3.3*

### Community examples

Looks like there are no examples yet.