modi (version 0.1.0)

ER.normal: 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

Beat Hulliger