EM.normal: EM for multivariate normal data

Description Usage Arguments Author(s)

Description

This version of EM does not contain the computation of the observed sufficient statistics, they will be computed in the main program of BEM and passed as parameters as well as the statistics on the missingness patterns.

Usage

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EM.normal(data, weights = rep(1, nrow(data)), n = sum(weights),
  p = ncol(data), s.counts, s.id, S, T.obs, start.mean = rep(0, p),
  start.var = diag(1, p), numb.it = 10, Estep.output = FALSE)

Arguments

data

matrix or dataframe with data.

weights

vector of weights.

n

number of rows.

p

number of columns.

s.counts

s.counts.

s.id

s.id.

S

S.

T.obs

T.obs.

start.mean

initial center.

start.var

initial variance.

numb.it

numb.it.

Estep.output

Estep.output.

Author(s)

Beat Hulliger


modi documentation built on May 2, 2019, 6:38 a.m.