canRepar-methods: Reparametrization methods
In mcplR: Multiple Cue Probability Learning in R
Description
The canRepar method is used to check whether a model can be
reparametrized. For certain models, reparametrization can be useful to speed up
convergence. By default, the method returns FALSE. By specifying the method
for particular models, it can be made to return TRUE. In that case, if setTransPars and
getTransPars methods exists for the model, they will be used when
fit method is called on the model.
Methods
- object = "ANY"
Generic function.
mcplR documentation built on May 2, 2019, 4:42 p.m.
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.
Description
The canRepar method is used to check whether a model can be
reparametrized. For certain models, reparametrization can be useful to speed up
convergence. By default, the method returns FALSE. By specifying the method
for particular models, it can be made to return TRUE. In that case, if setTransPars and
getTransPars methods exists for the model, they will be used when
fit method is called on the model.
Methods
- object = "ANY"
Generic function.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.