MDP.RKHS: Releasing four Differential Private RKHS smoothing means of a...

In sxz155/PFDA:

Description

This function create four DP RKHS smoothing means from an existing data set based on any arbitrary 4 by 1 vectors for alpha, beta, kernel, phi and ro.

Usage

MDP.RKHS(grid, Data, alpha = rep(1, 1), beta = rep(0.1, 1), kernel, phi, ro,
  col.drop = TRUE)

Arguments

grid	grid (x-axis) for each curve, default is equally espaced between 0 and 1.
Data	a matrix which the of interest curves are located in columns
alpha, beta	vector of privacy parameters
phi	vector of penalty parameters
ro	vector of kernel range parameters
drop.col	TRUE/FALSE for cleaning the Data, deleting Columns/Rows including missing values

Value

Multiple DP.RKHS output each of them includes "f.tilda","delta","f", "grid" and "X"

sxz155/PFDA documentation built on May 30, 2019, 10:40 p.m.