bayestestR (version 0.15.2)

convert_bayesian_as_frequentist: 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

if (FALSE) { # require("rstanarm")
# \donttest{
# 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)
# }
}