kmmd-class {kernlab} | R Documentation |
The Kernel Maximum Mean Discrepancy object class
Objects can be created by calls of the form new("kmmd", ...)
.
or by calling the kmmd
function
kernelf
:"kfunction"
contains
the kernel function usedkpar
:"list"
contains the
kernel parameter used "logical"
contains value of : is H0 rejected (logical)AsympH0
"logical"
contains
value : is H0 rejected according to the asymptotic bound (logical)mmdstats
"vector"
contains the test statistics (vector of two)Radbound
"numeric"
contains the Rademacher boundAsymbound
"numeric"
contains the asymptotic bound
signature(object = "kmmd")
: returns the
kernel function usedsignature(object = "kmmd")
: returns the value of H0
beeing rejectedsignature(object = "kmmd")
: returns the value of H0
being rejected according to the asymptotic boundsignature(object = "kmmd")
: returs the values
of the mmd statisticssignature(object = "kmmd")
: returns the
value of the Rademacher boundsignature(object = "kmmd")
: returns the
value of the asymptotic bound
Alexandros Karatzoglou
alexandros.karatzoglou@ci.tuwien.ac.at
kmmd
,
# create data x <- matrix(runif(300),100) y <- matrix(runif(300)+1,100) mmdo <- kmmd(x, y) H0(mmdo)