This function creates name for columns and rows of OFI matrix.
ofim_name(G, weight, Dim, lambda, model = "restricted", family = "constant",
skewness = "FALSE", param )Vector of names for columns and rows of OFI matrix.
number of components.
a vector of weight parameters (or mixing proportions).
dimension size.
a list of skewness matrices of G components.
it must be "canonical", "restricted", or "unrestricted". By default model = "restricted".
name of mixing distribution. By default family = "constant" that corresponds to the finite mixture of multivariate normal (or skew normal) distribution. Other candidates for family name are: "bs" (for Birnbaum-Saunders), "burriii" (for Burr type iii), "chisq" (for chi-square), "exp" (for exponential), "f" (for Fisher), "gamma" (for gamma), "gigaussian" (for generalized inverse-Gaussian), "igamma" (for inverse-gamma), "igaussian" (for inverse-Gaussian), "lindley" (for Lindley), "loglog" (for log-logistic), "lognorm" (for log-normal), "lomax" (for Lomax), "pstable" (for positive \(\alpha\)-stable), "ptstable" (for polynomially tilted \(\alpha\)-stable), "rayleigh" (for Rayleigh), and "weibull" (for Weibull).
logical statement. By default skewness = "TRUE" which means that a skewed model is fitted to each component (cluster). If skewness = "FALSE", then a symmetric model is fitted to each component.
name of the elements of \(\bold{\theta}\) as the parameter vector of mixing distribution with density function \(f_W(w; {\bold{\theta})}\).
Mahdi Teimouri