normal_gamma_conjugate_family: Title Univariate normal distribution with normal-gamma...

In nathanxli/BayesPD: Bayesian Problem Driven

Description

Title Univariate normal distribution with normal-gamma conjugate distribution

Usage

normal_gamma_conjugate_family(sample_size, mu_0, sigma_0_sequare, kappa_0,
  nu_0, y.1, y.2 = NULL, y.3 = NULL, confidence_interval = c(0.025,
  0.975))

Arguments

sample_size	How many samples to produce.
mu_0	The mean of normal distribution of theta given sigma squared.
sigma_0_sequare	Sample variance.
kappa_0	The number of prior observations.
nu_0	The number of samples of prior observations.
y.1	Data set number 1.
y.2	Data set number 2.
y.3	Data set number 3.
confidence_interval	Confidence interval to be calculated.

Value

The comparison of three data sets.

Examples

normal_gamma_conjugate_family(sample_size = 10000, mu_0 = 5, sigma_0_sequare = 4, 
kappa_0 = 1, nu_0 = 2, y.1 = school1, 
y.2 = school2, y.3 = school3, confidence_interval = c(0.025, 0.975))

nathanxli/BayesPD documentation built on June 18, 2020, 4:38 a.m.