ci: Calculate Credible Intervals (wide and narrow).

In ggmcmc: Tools for Analyzing MCMC Simulations from Bayesian Inference

Description

Generate a data frame with the limits of two credible intervals. Function used by ggs_caterpillar. "low" and "high" refer to the wide interval, whereas "Low" and "High" refer to the narrow interval. "median" is self-explanatory and is used to draw a dot in caterpillar plots. The data frame generated is of wide format, suitable for ggplot2::geom_segment().

Usage

ci(D, thick_ci = c(0.05, 0.95), thin_ci = c(0.025, 0.975))

Arguments

D	Data frame whith the simulations.
thick_ci	Vector of length 2 with the quantiles of the thick band for the credible interval
thin_ci	Vector of length 2 with the quantiles of the thin band for the credible interval

Value

A data frame tibble with the Parameter names and 5 variables with the limits of the credibal intervals (thin and thick), ready to be used to produce caterpillar plots.

Examples

data(linear)
ci(ggs(s))

Example output

Loading required package: dplyr

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: tidyr
Loading required package: ggplot2
# A tibble: 3 x 6
  Parameter      low      Low   median     High     high
*    <fctr>    <dbl>    <dbl>    <dbl>    <dbl>    <dbl>
1   beta[1] 2.244675 2.350889 2.826853 3.304125 3.381859
2   beta[2] 4.853687 4.883265 5.045913 5.211476 5.239212
3     sigma 1.615595 1.682851 1.998729 2.389861 2.496822

ggmcmc documentation built on Feb. 10, 2021, 5:10 p.m.