summary.gpt_fit: Summary for Fitted GPT Models
In danheck/gpt: Generalized Processing Tree Models
View source: R/summary_gpt_fit.R
summary.gpt_fit R Documentation
Summary for Fitted GPT Models
Description
Shows parameter estimates and goodness of fit.
Usage
## S3 method for class 'gpt_fit'
summary(object, EM = FALSE, ...)
Arguments
object
a fitted GPT model (see gpt_fit)
EM
whether to use parameter estimates and likelihood from
expectation-maximization (EM) fit or from the gradient-based optimization
...
further arguments passed to test_fit
danheck/gpt documentation built on Feb. 12, 2024, 6:21 a.m.
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View source: R/summary_gpt_fit.R
| summary.gpt_fit | R Documentation |
Summary for Fitted GPT Models
Description
Shows parameter estimates and goodness of fit.
Usage
## S3 method for class 'gpt_fit'
summary(object, EM = FALSE, ...)
Arguments
object |
a fitted GPT model (see |
EM |
whether to use parameter estimates and likelihood from expectation-maximization (EM) fit or from the gradient-based optimization |
... |
further arguments passed to |
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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