Calculates predicted cell frequencies based on an estimated latent class model.
1  poLCA.table(formula, condition, lc)

formula 
A formula expression of the form 
condition 
A list containing the values of the manifest variables to hold fixed when creating the table specified by the 
lc 
A model object previously estimated using the 
This function outputs predicted cell counts for userspecified combinations of the manifest variables, based on a latent class model estimated by the poLCA
function. The predcell
table outputted automatically by poLCA
also contains predicted cell frequencies, but only for cells containing at least one observation. In contrast, poLCA.table
will calculate predicted cell counts for all cells, including those with zero observations.
A vector or table containing the specified frequency distribution.
1 2 3 4 5 6 7 8 9 10  data(gss82)
f < cbind(PURPOSE,ACCURACY,UNDERSTA,COOPERAT)~1
gss.lc2 < poLCA(f,gss82,nclass=2)
gss.lc2$predcell
poLCA.table(formula=COOPERAT~1,condition=list(PURPOSE=3,ACCURACY=1,UNDERSTA=2),lc=gss.lc2)
poLCA.table(formula=COOPERAT~UNDERSTA,condition=list(PURPOSE=3,ACCURACY=1),lc=gss.lc2)
poLCA.table(formula=COOPERAT~UNDERSTA,condition=list(),lc=gss.lc2)

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