insight (version 0.11.0)

find_algorithm: Find sampling algorithm and optimizers

Description

Returns information on the sampling or estimation algorithm as well as optimization functions, or for Bayesian model information on chains, iterations and warmup-samples.

Usage

find_algorithm(x, ...)

Arguments

x

A fitted model.

...

Currently not used.

Value

A list with elements depending on the model. For frequentist models:

• algorithm, for instance "OLS" or "ML"

• optimizer, name of optimizing function, only applies to specific models (like gam)

For frequentist mixed models:

• algorithm, for instance "REML" or "ML"

• optimizer, name of optimizing function

For Bayesian models:

• algorithm, the algorithm

• chains, number of chains

• iterations, number of iterations per chain

• warmup, number of warmups per chain

Examples

# NOT RUN {
library(lme4)
data(sleepstudy)
m <- lmer(Reaction ~ Days + (1 | Subject), data = sleepstudy)
find_algorithm(m)
# }
# NOT RUN {
library(rstanarm)
m <- stan_lmer(Reaction ~ Days + (1 | Subject), data = sleepstudy)
find_algorithm(m)
# }
# NOT RUN {
# }

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