Tests for the mvn(), mvnram(), and mvnramsigma2 functions

Ivan Jacob Agaloos Pesigan

2020-07-17

library(testthat)
library(jeksterslabRsem)
library(jeksterslabRdata)
context("Test univ Normal Distribution.")

Multivariate Normal Distribution

Sample Size and Monte Carlo replications

#> [1] 100

Sample Size and Monte Carlo Replications

Variable	Description	Notation	Values
n	Sample size.	\(n\)	1000
R	Monte Carlo replications.	\(R\)	1000

Population Parameters

Mean Vector \(\mu\)

	x
x	70.18
y	3.06
z	3.24

Variance-Covariance Matrix \(\Sigma\)

	x	y	z
x	1.2934694	0.4379592	0.4661224
y	0.4379592	1.0779592	0.5771429
z	0.4661224	0.5771429	1.2881633

Monte Carlo Simulation

#> mu = NULL. mu is computed using M.
#> mu = NULL. mu is computed using M.
#> mu = NULL. mu is computed using M.
#> mu = NULL. mu is computed using M.