summary-idealstan-method: Posterior Summaries for fitted 'idealstan' object

In idealstan: Generalized IRT Ideal Point Models with 'Stan'

Description

This function produces quantiles and standard deviations for the posterior samples of idealstan objects.

Usage

## S4 method for signature 'idealstan'
summary(object, pars = "ideal_pts",
  high_limit = 0.95, low_limit = 0.05, aggregate = TRUE)

Arguments

object	An idealstan object fitted by id_estimate
pars	Either 'ideal_pts' for person ideal points, 'items' for items/bills difficulty and discrimination parameters, and 'all' for all parameters in the model, including incidental parameters.
high_limit	A number between 0 and 1 reflecting the upper limit of the uncertainty interval (defaults to 0.95).
low_limit	A number between 0 and 1 reflecting the lower limit of the uncertainty interval (defaults to 0.05).
aggregate	Whether to return summaries of the posterior values or the full posterior samples. Defaults to TRUE.

Value

A tibble data frame with parameters as rows and descriptive statistics as columns

idealstan documentation built on July 10, 2019, 5:05 p.m.