summarize_normal_normal: Summarize a Normal-Normal Bayesian model

In bayesrules: Datasets and Supplemental Functions from Bayes Rules! Book

Description

Consider a Normal-Normal Bayesian model for mean parameter μ with a N(mean, sd^2) prior on μ and a Normal likelihood for the data. Given information on the prior (mean and sd) and data (the sample size n, mean y_bar, and standard deviation sigma), this function summarizes the mean, mode, and variance of the prior and posterior Normal models of μ.

Usage

summarize_normal_normal(mean, sd, sigma = NULL, y_bar = NULL, n = NULL)

Arguments

mean	mean of the Normal prior
sd	standard deviation of the Normal prior
sigma	standard deviation of the data, or likelihood standard deviation
y_bar	sample mean of the data
n	sample size of the data

Value

data frame

Examples

summarize_normal_normal(mean = 2.3, sd = 0.3, sigma = 5.1, y_bar = 128.5, n = 20)

bayesrules documentation built on Sept. 25, 2021, 9:06 a.m.