convert_bayesian_as_frequentist: Convert (refit) a Bayesian model to frequentist

In bayestestR: Understand and Describe Bayesian Models and Posterior Distributions

Convert (refit) a Bayesian model to frequentist

Description

Refit Bayesian model as frequentist. Can be useful for comparisons.

Usage

convert_bayesian_as_frequentist(model, data = NULL, REML = TRUE)

bayesian_as_frequentist(model, data = NULL, REML = TRUE)

Arguments

model	A Bayesian model.
data	Data used by the model. If NULL, will try to extract it from the model.
REML	For mixed effects, should models be estimated using restricted maximum likelihood (REML) (TRUE, default) or maximum likelihood (FALSE)?

Examples

# Rstanarm ----------------------
# Simple regressions
model <- rstanarm::stan_glm(Sepal.Length ~ Species,
  data = iris, chains = 2, refresh = 0
)
bayesian_as_frequentist(model)

model <- rstanarm::stan_glm(vs ~ mpg,
  family = "binomial",
  data = mtcars, chains = 2, refresh = 0
)
bayesian_as_frequentist(model)

# Mixed models
model <- rstanarm::stan_glmer(
  Sepal.Length ~ Petal.Length + (1 | Species),
  data = iris, chains = 2, refresh = 0
)
bayesian_as_frequentist(model)

model <- rstanarm::stan_glmer(vs ~ mpg + (1 | cyl),
  family = "binomial",
  data = mtcars, chains = 2, refresh = 0
)
bayesian_as_frequentist(model)

bayestestR documentation built on Oct. 17, 2024, 5:07 p.m.