| SGBdistrib | R Documentation |
dSGB computes the density for a given argument u (a composition) and given parameters.
rSGB generates n compositions for given parameters.
dSGB(u, shape1, scale, shape2) rSGB(n, shape1, scale, shape2)
u |
vector of length D containing the composition |
shape1 |
overall shape parameter. shape1 = 1 for a Dirichlet composition. |
scale |
vector of the same length as u containing the scales of parts. If missing, scales are set to 1. |
shape2 |
vector of length D containing the (Dirichlet) shapes for each part. |
n |
number of observations. |
The number of columns in u and the number of components in shape2 must match.
dSGB gives the density, rSGB generates a (n \times D - matrix with random compositions on each row.
bval, zval
u1 <- c(0.2,0.3,0.5) scale1 <- c(0.25,0.33,0.32) shape1 <- 1 shape2 <- c(0.8,3,0.9) dSGB(u1,shape1,scale1,shape2) rSGB(10,shape1,scale1,shape2) ## with equal scales dSGB(u1,shape1,shape2=shape2) rSGB(10,shape1,shape2=shape2)