Simulation of compositional data from the folded model normal distribution
Simulation of compositional data from the folded model normal distribution.
rfolded(n, mu, su, a)
n |
The sample size. |
mu |
The mean vector. |
su |
The covariance matrix. |
a |
The value of α. |
A sample from the folded model is generated.
A matrix with compositional data.
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
Tsagris Michail and Stewart Connie (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
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)
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