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Determines the set of stochastic dominant variables for various degrees.
NNS.SD.efficient.set(x, degree, type = "discrete", status = TRUE)
Returns set of stochastic dominant variable names.
a numeric matrix or data frame.
numeric options: (1, 2, 3); Degree of stochastic dominance test from (1, 2 or 3).
options: ("discrete", "continuous"); "discrete"
(default) selects the type of CDF.
logical; TRUE
(default) Prints status update message in console.
Fred Viole, OVVO Financial Systems
Viole, F. and Nawrocki, D. (2016) "LPM Density Functions for the Computation of the SD Efficient Set." Journal of Mathematical Finance, 6, 105-126. tools:::Rd_expr_doi("10.4236/jmf.2016.61012").
Viole, F. (2017) "A Note on Stochastic Dominance." tools:::Rd_expr_doi("10.2139/ssrn.3002675")
if (FALSE) {
set.seed(123)
x <- rnorm(100) ; y<-rnorm(100) ; z<-rnorm(100)
A <- cbind(x, y, z)
NNS.SD.efficient.set(A, 1)
}
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