reshape_iterations: Reshape estimations with multiple iterations (draws) to long...

In bayestestR: Understand and Describe Bayesian Models and Posterior Distributions

Reshape estimations with multiple iterations (draws) to long format

Description

Reshape a wide data.frame of iterations (such as posterior draws or bootsrapped samples) as columns to long format. Instead of having all iterations as columns (e.g., ⁠iter_1, iter_2, ...⁠), will return 3 columns with the ⁠\*_index⁠ (the previous index of the row), the ⁠\*_group⁠ (the iteration number) and the ⁠\*_value⁠ (the value of said iteration).

Usage

reshape_iterations(x, prefix = c("draw", "iter", "iteration", "sim"))

reshape_draws(x, prefix = c("draw", "iter", "iteration", "sim"))

Arguments

x	A data.frame containing posterior draws obtained from estimate_response or estimate_link.
prefix	The prefix of the draws (for instance, "iter_" for columns named as ⁠iter_1, iter_2, iter_3⁠). If more than one are provided, will search for the first one that matches.

Value

Data frame of reshaped draws in long format.

Examples

if (require("rstanarm")) {
  model <- stan_glm(mpg ~ am, data = mtcars, refresh = 0)
  draws <- insight::get_predicted(model)
  long_format <- reshape_iterations(draws)
  head(long_format)
}

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