View source: R/modi-internal.R
ER.normal | R Documentation |
The ER
function is an implementation of the
ER-algorithm of Little and Smith (1987).
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 )
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. |
Beat Hulliger
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