EA.dist: Utility function for EAdet and EAimp

In martinSter/modi: Multivariate Outlier Detection and Imputation for Incomplete Survey Data

Utility function for EAdet and EAimp

Description

Calculation of distances for EPIDEMIC Algorithm for multivariate outlier detection and imputation

Usage

EA.dist(
  data,
  n,
  p,
  weights,
  reach,
  transmission.function,
  power,
  distance.type,
  maxl
)

Arguments

data	a data frame or matrix with data.
n	number of rows.
p	number of columns.
weights	a vector of positive sampling weights.
reach	if reach = "max" the maximal nearest neighbor distance is used as the basis for the transmission function, otherwise the weighted
transmission.function	form of the transmission function of distance d: "step" is a heaviside function which jumps to 1 at d0, "linear" is linear between 0 and d0, "power" is (beta*d+1)^(-p) for p = ncol(data) as default, "root" is the function 1-(1-d/d0)^(1/maxl).
power	sets p = power.
distance.type	distance type in function dist().
maxl	maximum number of steps without infection.

Author(s)

Beat Hulliger

martinSter/modi documentation built on March 14, 2023, 12:09 p.m.