Ana,

I cannot help you with how to include weights in your analysis. However, you can use formals(poLCA) or ?poLCA to see that weights is not one of the acceptable arguments. R ignores arguments not used by the called function because functions within the called function may use them.

You can probably have (weights = "no weights here") in your function call and get the same result.

Mark
R. Mark Sharp
msharp@TxBiomed.org<mailto:msharp@TxBiomed.org>




On Apr 3, 2013, at 3:48 AM, Ana Lucía Cárdenas Martínez wrote:

Hello,

I want to perform a latent class analysis using poLCA package. My formula
is:

substances <- cbind(subs1, subs2, subs3, subs4, subs5, subs6) ~
gender+age+education+income+occupation+urban+dbehavior+incarceration+treatment+depression+alcriteria

I want to include sample weights in the model, I have read that poLCA does
not take into account weights, but when I introduce them, it seems that the
model is running correctly. This is the command I am using:

lca2 <- poLCA(substances, ena, nclass=2, graphs=TRUE, maxiter=2000,
(weights=p_adicc))

my question is, if the results are really taking into account the weights ?
if not, how can I introduce weights into my analysis?

Thank you for your help.
Regards,
Ana
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