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Contour plot of mixtures of Dirichlet distributions in \(S^2\).
mixdiri.contour(a, prob, n = 100, x = NULL, cont.line = FALSE)
A matrix where each row contains the parameters of each Dirichlet disctribution.
A vector with the mixing probabilities.
The number of grid points to consider over which the density is calculated.
This is either NULL (no data) or contains a 3 column matrix with compositional data.
Do you want the contour lines to appear? If yes, set this TRUE.
A ternary diagram with the points and the Dirichlet contour lines.
The user can plot only the contour lines of a Dirichlet with a given vector of parameters, or can also add the relevant data should he/she wish to.
Ng Kai Wang, Guo-Liang Tian and Man-Lai Tang (2011). Dirichlet and related distributions: Theory, methods and applications. John Wiley & Sons.
Aitchison J. (1986). The statistical analysis of compositional data. Chapman & Hall.
diri.contour, compnorm.contour, bivt.contour, comp.kerncontour, mix.compnorm.contour, diri.nr, dda
# NOT RUN { a <- matrix( c(12, 30, 45, 32, 50, 16), byrow = TRUE,ncol = 3) prob <- c(0.5, 0.5) mixdiri.contour(a, prob) # }
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