Description Usage Arguments Details Value Methods (by class) See Also Examples
This is a generic S3 function that gets point estimates of fixed effects of a statistical model, implemented on a wide range of models and that can be extended to new models.
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## S3 method for class 'lmerMod'
fixcoef(model, ...)
## S3 method for class 'glmerMod'
fixcoef(model, ...)
## S3 method for class 'lmerModLmerTest'
fixcoef(model, ...)
## S3 method for class 'lme'
fixcoef(model, ...)
## S3 method for class 'multinom'
fixcoef(model, ...)
## S3 method for class 'mlm'
fixcoef(model, ...)
## Default S3 method:
fixcoef(model, ...)
|
model |
a fitted statistical model |
... |
argument unused by |
It must return only estimates of fixed-effects of a model. Random effects are ignored.
The names of the element of this vector must be consistent
with the rownames and colnames
of the variance-covariance matrix that vcov_fixcoef returns.
The vcov_fixcoef function, on the same model, must return a matrix
with the same number and names of rows and columns as the length of the vector returned by fixcoef.
The functions vcov_fixcoef and fixcoef would be pointless if the behavior of
vcov and coef were not inconsistent from package to package.
fixcoef and vcov_fixcoef, together with df_for_wald are used by p_value_contrast.default
Simple numeric vector with one item for each fixed effect of the model.
lmerMod: implementation for lme4::lmer
glmerMod: implementation for lme4::glmer
lmerModLmerTest: implementation for lmerTest::lmer
lme: implementation for nlme::lme
multinom: implementation for nnet::multinom
mlm: implementation for multiple responses linear models generated by stats::lm when the response is a matrix.
It transforms the matrix to a vector, consistent with stats::vcov.
default: default implementation, simply calls coef(model).
Other Wald-related functions:
df_for_wald(),
p_value_contrast(),
vcov_fixcoef()
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