rfolded: Simulation of compositional data from the folded model normal...

View source: R/rfolded.R

Simulation of compositional data from the folded normal distributionR Documentation

Simulation of compositional data from the folded model normal distribution

Description

Simulation of compositional data from the folded model normal distribution.

Usage

rfolded(n, mu, su, a)

Arguments

n

The sample size.

mu

The mean vector.

su

The covariance matrix.

a

The value of \alpha.

Details

A sample from the folded model is generated.

Value

A matrix with compositional data.

Author(s)

Michail Tsagris.

R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.

References

Tsagris M. and Stewart C. (2020). A folded model for compositional data analysis. Australian and New Zealand Journal of Statistics, 62(2): 249-277. https://arxiv.org/pdf/1802.07330.pdf

See Also

alfa, alpha.mle, a.est

Examples

s <-  c(0.1490676523, -0.4580818209,  0.0020395316, -0.0047446076, -0.4580818209,
1.5227259250,  0.0002596411,  0.0074836251,  0.0020395316,  0.0002596411,
0.0365384838, -0.0471448849, -0.0047446076,  0.0074836251, -0.0471448849,
0.0611442781)
s <- matrix(s, ncol = 4)
m <- c(1.715, 0.914, 0.115, 0.167)
x <- rfolded(100, m, s, 0.5)
a.est(x)

Compositional documentation built on Oct. 23, 2023, 5:09 p.m.