summary.SECdistr {sn} | R Documentation |
Produce a summary of an object of class either
"SECdistrUv"
or "SECdistrMv"
, which refer to a univariate or a
multivariate SEC distribution, respectively. Both types of
objects are produced by makeSECditr
.
## S4 method for signature 'SECdistrUv' summary(object, cp.type = "auto", probs) ## S4 method for signature 'SECdistrMv' summary(object, cp.type = "auto")
object |
an object of class |
cp.type |
a character string to select the required variance of
CP parameterization; possible values are |
probs |
in the univariate case, a vector of probabilities for which the corresponding quantiles are required. |
A list with the following components:
family |
name of the family within the SEC class, character |
dp |
DP parameters, list or vector |
name |
the name of the distribution, character string |
compNames |
in the multivariate case, the names of the components |
cp |
CP parameters, list or vector |
cp.type |
the name of the selected variant of the CP set |
aux |
a list with auxiliary ingredients (mode, coefficients of skewness and kurtosis, in the parametric and non-parametric variants, and more). |
Adelchi Azzalini
f3 <- makeSECdistr(dp=c(3,2,5), family="SC") summary(f3) print(s <- summary(f3, probs=(1:9)/10)) print(slot(s, "aux")$mode) # dp3 <- list(xi=1:3, Omega=toeplitz(1/(1:3)), alpha=c(-3, 8, 5), nu=6) st3 <- makeSECdistr(dp=dp3, family="ST", compNames=c("U", "V", "W")) s <- summary(st3) print(slot(s, "aux")$delta.star) print(slot(s, "aux")$mardia) # dp2 <- list(xi=rep(0,2), Omega=matrix(c(2,2,2,4),2,2), alpha=c(3,-5), tau=-1) esn2 <- makeSECdistr(dp=dp2, family="ESN", name="ESN-2d") summary(esn2)