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parameters

p_value.BFBayesFactor

p-values for Bayesian Models

Description

This function attempts to return, or compute, p-values of Bayesian models.

Usage

## S3 method for class 'BFBayesFactor'
p_value(model, ...)

Arguments

model

A statistical model.
...

Arguments passed down to standard_error_robust() when confidence intervals or p-values based on robust standard errors should be computed. Only available for models where method = "robust" is supported.

Details

For Bayesian models, the p-values corresponds to the probability of direction (p_direction), which is converted to a p-value using bayestestR::convert_pd_to_p().

Value

The p-values.

Examples

data(iris)
model <- lm(Petal.Length ~ Sepal.Length + Species, data = iris)
p_value(model)
parameters

Processing of Model Parameters

v0.13.0
GPL-3
Authors
Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Søren Højsgaard [aut], Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-1995-6531>, @vincentab), Jeffrey Girard [ctb] (<https://orcid.org/0000-0002-7359-3746>, @jeffreymgirard)
Initial release

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