test_nested: Likelihood-Ratio Test
In danheck/gpt: Generalized Processing Tree Models
test_nested R Documentation
Likelihood-Ratio Test
Description
Test whether the increase of misfit of a nested model is significant.
Usage
test_nested(gpt_fit, nested, EM = TRUE)
Arguments
gpt_fit
the more general GPT model (see gpt_fit)
nested
a nested GPT model (i.e., a model that differs only in additional order constraints).
Note that the nestedness of models is not checked internally.
EM
whether to use parameter estimates and likelihood from
expectation-maximization (EM) fit or from the gradient-based optimization
See Also
select_gpt, test_fit
danheck/gpt documentation built on Feb. 12, 2024, 6:21 a.m.
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| test_nested | R Documentation |
Likelihood-Ratio Test
Description
Test whether the increase of misfit of a nested model is significant.
Usage
test_nested(gpt_fit, nested, EM = TRUE)
Arguments
gpt_fit |
the more general GPT model (see |
nested |
a nested GPT model (i.e., a model that differs only in additional order constraints). Note that the nestedness of models is not checked internally. |
EM |
whether to use parameter estimates and likelihood from expectation-maximization (EM) fit or from the gradient-based optimization |
See Also
select_gpt, test_fit
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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