modelparm | R Documentation |
Extract model parameters and their covariance matrix as well as degrees of freedom (if available) from a fitted model.
modelparm(model, coef., vcov., df, ...)
model |
a fitted model,
for example an object returned by |
coef. |
an accessor function for the model parameters. Alternatively, the vector of coefficients. |
vcov. |
an accessor function for the covariance matrix of the model parameters. Alternatively, the covariance matrix directly. |
df |
an optional specification of the degrees of freedom to be used in subsequent computations. |
... |
additional arguments, currently ignored. |
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 \times p
covariance matrix (vcov
).
The coef.
and vcov.
arguments can be used to define
modified coef
or vcov
methods for a specific model.
Methods for lmer
, fixest
,
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.
An object of class modelparm
with elements
coef |
model parameters |
vcov |
covariance matrix of model parameters |
df |
degrees of freedom |
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