extractPvalues: Extract p-values from a model object
In skpr: Design of Experiments Suite: Generate and Evaluate Optimal Designs
View source: R/extractPvalues.R
extractPvalues R Documentation
Extract p-values from a model object
Description
Extract p-values from a model object. Currently works with lm, glm, lme4, glmer,
and survreg model objects. If possible, uses the p-values reported in summary(model_fit).
If those do not exist (I'm looking at you, lme4), returns the Wald p-value:
2*pnorm(-abs(estimate / se))
Usage
extractPvalues(model_fit, glmfamily = "gaussian")
Arguments
model_fit
The model object from which to extract.
Value
Returns a vector of p-values. If model_fit is not a supported model type, returns NULL.
skpr documentation built on July 9, 2023, 7:23 p.m.
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View source: R/extractPvalues.R
| extractPvalues | R Documentation |
Extract p-values from a model object
Description
Extract p-values from a model object. Currently works with lm, glm, lme4, glmer, and survreg model objects. If possible, uses the p-values reported in summary(model_fit). If those do not exist (I'm looking at you, lme4), returns the Wald p-value: 2*pnorm(-abs(estimate / se))
Usage
extractPvalues(model_fit, glmfamily = "gaussian")
Arguments
model_fit |
The model object from which to extract. |
Value
Returns a vector of p-values. If model_fit is not a supported model type, returns NULL.
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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