# modelparm

##### Generic Accessor Function for Model Parameters

Extract model parameters and their covariance matrix as well as degrees of freedom (if available) from a fitted model.

##### Usage

`modelparm(model, coef., vcov., df, ...)`

##### Arguments

- model
- a fitted model,
for example an object returned by
`lm`

,`glm`

,`aov`

, - coef.
- an accessor function for the model parameters.
- vcov.
- an accessor function for the covariance matrix of the model parameters.
- df
- an optional specification of the degrees of freedom to be used in subsequent computations.
- ...
- additional arguments, currently ignored.

##### Details

One can't expect `coef`

and `vcov`

methods
for arbitrary models to
return a vector of $p$ fixed effects model parameters (`coef`

)
and corresponding $p `vcov`

).

The `coef.`

and `vcov.`

arguments can be used to define
modified `coef`

or `vcov`

methods for a specific model.
Methods for `lmer`

and `survreg`

objects are available (internally).

For objects inheriting from class `lm`

the degrees of
freedom are determined from `model`

and the corresponding
multivariate $t$ distribution is used by all methods to `glht`

objects. By default, the asymptotic multivariate normal distribution
is used in all other cases unless `df`

is specified by the user.

`modelparm`

with elements
*Documentation reproduced from package multcomp, version 0.991-1, License: GPL*