get_samples_single_normal_conjugate: Get posterior samples from a conjugate priors model

In michael-franke/aida-package: R package with helper functions for courses on _A_dvanced topics in and _I_ntro to _D_ata _A_nalysis

Get posterior samples from a conjugate priors model

Description

Convenience function for obtaining posterior samples from a conjugate priors model for inferring the parameters mu and sigma of a normal distribution.

Usage

get_samples_single_normal_conjugate(
  data_vector,
  nu = 1,
  var = 1,
  mu = 0,
  kappa = 1,
  n_samples = 1000
)

Arguments

data_vector	vector of metric observations
nu	prior on nu
var	prior on the variance
mu	prior on the mean
kappa	prior on kappa
n_samples	number of samples taken from the posterior

Value

A tibble of associated samples.

michael-franke/aida-package documentation built on Feb. 19, 2023, 11:51 p.m.