get_est {hbamr}

Extract point estimates or other summaries of marginal posterior distributions

Description

For objects produced by hbam(), this function is a wrapper for rstan::summary(). For objects produced by fbam() it offers a way to extract point estimates.

Usage

get_est(
  object,
  par = "theta",
  format_orig = FALSE,
  probs = c(0.025, 0.5, 0.975),
  simplify = TRUE,
  ...
)

Arguments

object

An instance of class stanfit produced by hbam(), or a list produced by fbam().

par

Character: Name of the parameter type to be extracted. Typically "theta" (stimuli positions) or "chi" (respondent positions).

format_orig

Logical: Should individual-level parameters be mapped to the original dataset by returning rows of NAs for respondents who were not included in the analysis? Defaults to FALSE.

probs

A numeric vector of quantiles of interest for summarizing stanfit objects.

simplify

Logical: Should the returned object be simplified by dropping the Monte Carlo standard error and the posterior standard deviation? Defaults to TRUE.

...

Other arguments are passed on to rstan::summary() when summarizing stanfit objects.

Value

A tibble containing summaries of marginal posterior distributions. For objects produced by fbam(), only maximum a posteriori estimates are returned.