| 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)