refit_for_weights: Refit the model under an independence assumption
In multifamm: Multivariate Functional Additive Mixed Models
Description
This is an internal function. Refit the model under an independence
assumption now with the basis functions from the MFPCA. Goal is to extract an
estimate for the error variances.
Usage
1
refit_for_weights(formula, data, model_list)
Arguments
formula
Formula to fit the final model.
data
Data that contains all the variables specified in formula.
model_list
List containing sparseFLMM objects for each dimension
multifamm documentation built on Sept. 28, 2021, 9:07 a.m.
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Description
This is an internal function. Refit the model under an independence assumption now with the basis functions from the MFPCA. Goal is to extract an estimate for the error variances.
Usage
1 | refit_for_weights(formula, data, model_list)
|
Arguments
formula |
Formula to fit the final model. |
data |
Data that contains all the variables specified in formula. |
model_list |
List containing sparseFLMM objects for each dimension |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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