kmmd-class function

Class "kqr"

The Kernel Maximum Mean Discrepancy object class class

Objects from the Class

Objects can be created by calls of the form new("kmmd", ...). or by calling the kmmd function

Slots

• kernelf:: Object of class "kfunction" contains the kernel function used
• xmatrix:: Object of class "kernelMatrix" containing the data used
• H0: Object of class "logical" contains value of : is H0 rejected (logical)
• AsympH0: Object of class "logical" contains value : is H0 rejected according to the asymptotic bound (logical)
• mmdstats: Object of class "vector" contains the test statistics (vector of two)
• Radbound: Object of class "numeric" contains the Rademacher bound
• Asymbound: Object of class "numeric" contains the asymptotic bound

Methods

• kernelf: signature(object = "kmmd"): returns the kernel function used
• H0: signature(object = "kmmd"): returns the value of H0 being rejected
• AsympH0: signature(object = "kmmd"): returns the value of H0 being rejected according to the asymptotic bound
• mmdstats: signature(object = "kmmd"): returns the values of the mmd statistics
• Radbound: signature(object = "kmmd"): returns the value of the Rademacher bound
• Asymbound: signature(object = "kmmd"): returns the value of the asymptotic bound

Author(s)

Alexandros Karatzoglou

alexandros.karatzoglou@ci.tuwien.ac.at

See Also

kmmd,

Examples

# create data
x <- matrix(runif(300),100)
y <- matrix(runif(300)+1,100)

mmdo <- kmmd(x, y)

H0(mmdo)