rMixt {SenTinMixt} | R Documentation |
Random number generation for bidimensional parsimonious mixtures of MSEN or MTIN distributions
rMixt(n, k, Pi, mu, cov.model, lambda, delta, gamma, theta, density)
n |
An integer specifying the number of data points to be simulated. |
k |
An integer indicating the number of groups in the data. |
Pi |
A vector of length |
mu |
A matrix of means with 2 rows and |
cov.model |
A character indicating the parsimonious structure of the scale matrices. Possible values are: "EII", "VII", "EEI", "VEI", "EVI", "VVI", "EEE", "VEE", "EVE", "EEV", "VVE", "VEV", "EVV" or "VVV". |
lambda |
A numeric vector of length |
delta |
A numeric vector of length |
gamma |
A numeric vector of length |
theta |
A vector of length |
density |
A character indicating the density of the mixture components. Possible values are: "MSEN" or "MTIN". |
A list with the following elements:
X |
A data matrix with |
Sigma |
An array of dimension 2 x 2 x |
Size |
The size of each generated group. |
Punzo A., Browne R. and McNicholas P.D. (2016). Hypothesis Testing for Mixture Model Selection. Journal of Statistical Computation and Simulation, 86(14), 2797-2818.
n <- 50
k <- 2
Pi <- c(0.5, 0.5)
mu <- matrix(c(0, 0, 4, 5), 2, 2)
cov.model <- "EEE"
lambda <- c(0.5, 0.5)
delta <- c(0.7, 0.7)
gamma <- c(2.62, 2.62)
theta <- c(0.1, 0.1)
density <- "MSEN"
data <- rMixt(n, k, Pi, mu, cov.model, lambda, delta, gamma, theta, density)