parameters (version 0.10.1)

p_value: p-values

Description

This function attempts to return, or compute, p-values of a model's parameters. See the documentation for your object's class:

• Mixed models (lme4, nlme, glmmTMB, ...)

• Bayesian models (rstanarm, brms, MCMCglmm, ...)

• Zero-inflated models (hurdle, zeroinfl, zerocount, ...)

• Marginal effects models (mfx)

• Models with special components (DirichletRegModel, clm2, cgam, ...)

Usage

p_value(model, ...)
# S3 method for default
p_value(model, method = NULL, verbose = TRUE, ...)
# S3 method for emmGrid
p_value(model, ci = 0.95, adjust = "none", ...)
# S3 method for gee
p_value(model, method = NULL, ...)

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.

method

If "robust", and if model is supported by the sandwich or clubSandwich packages, computes p-values based on robust covariance matrix estimation.

verbose

Toggle warnings and messages.

ci

Confidence Interval (CI) level. Default to 0.95 (95%).

adjust

Character value naming the method used to adjust p-values or confidence intervals. See ?emmeans::summary.emmGrid for details.

Value

A data frame with at least two columns: the parameter names and the p-values. Depending on the model, may also include columns for model components etc.

Examples

# NOT RUN {
data(iris)
model <- lm(Petal.Length ~ Sepal.Length + Species, data = iris)
p_value(model)
# }