BayesianTools (version 0.1.8)

generateTestDensityMultiNormal: Multivariate normal likelihood

Description

Generates a 3 dimensional multivariate normal likelihood function.

Usage

generateTestDensityMultiNormal(
  mean = c(0, 0, 0),
  sigma = "strongcorrelation",
  sample = F,
  n = 1,
  throwErrors = -1
)

Arguments

mean

vector with the three mean values of the distribution

sigma

either a correlation matrix, or "strongcorrelation", or "no correlation"

sample

should the function create samples

n

number of samples to create

throwErrors

parameter for test purpose. Between 0 and 1 for proportion of errors

Author

Florian Hartig

Details

3-d multivariate normal density function with mean 2,4,0 and either strong correlation (default), or no correlation.

See Also

testDensityBanana
testLinearModel

Examples

# sampling from the test function
x = generateTestDensityMultiNormal(sample  = TRUE, n = 1000)(1000)
correlationPlot(x)
marginalPlot(x)

# generating the the density
density = generateTestDensityMultiNormal(sample  = FALSE)
density(x[1,])