ER.normal: Utility for ER function

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

Utility for ER function

Description

The ER function is an implementation of the ER-algorithm of Little and Smith (1987).

Usage

ER.normal(
  data,
  weights = rep(1, nrow(data)),
  psi.par = c(2, 1.25),
  np = sum(weights),
  p = ncol(data),
  s.counts,
  s.id,
  S,
  missing.items,
  nb.missing.items,
  start.mean = rep(0, p),
  start.var = diag(1, p),
  numb.it = 10,
  Estep.output = FALSE,
  tolerance = 1e-06
)

Arguments

data	matrix or dataframe with data.
weights	vector of weights.
psi.par	parameters for psi function.
np	np.
p	number of columns.
s.counts	s.counts.
s.id	s.id.
S	S.
missing.items	missing items.
nb.missing.items	number of missing items.
start.mean	initial center.
start.var	initial variance.
numb.it	number of iterations.
Estep.output	Estep.output.
tolerance	tolerance.

Author(s)

Beat Hulliger

modi documentation built on March 31, 2023, 8:35 p.m.