Dear Scott,
I think the issue here is you need to
form a correct formula poLCA::poLCA can
accept.
The help page ?poLCA::election has this
example:
# Latent class models with one (loglinear independence) to three classes
data(election)
f <- cbind(MORALG,CARESG,KNOWG,LEADG,DISHONG,INTELG,
MORALB,CARESB,KNOWB,LEADB,DISHONB,INTELB)~1
nes1 <- poLCA(f,election,nclass=1) # log-likelihood: -18647.31
nes2 <- poLCA(f,election,nclass=2) # log-likelihood: -17344.92
nes3 <- poLCA(f,election,nclass=3) # log-likelihood: -16714.66
Perhaps if you export df first using
data() and try to use cbind(x1, x2)~1 as
the formula ...
data(df2)
f <- cbind(x1, x2)~1
poLCA(f, df2, nclass=2, maxiter=100, nrep=10, verbose =TRUE)
Best,
Rasmus
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