get_est: Extract point estimates or other summaries of marginal...

In hbamr: Hierarchical Bayesian Aldrich-McKelvey Scaling via 'Stan'

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.

hbamr documentation built on April 4, 2025, 3:06 a.m.