[R] Frustration to get help R users group

Jeff Newmiller jdnewmil at dcn.davis.CA.us
Tue Apr 23 05:27:27 CEST 2013

```This is dangerously close to a statistics theory question, which would be off-topic on this list. In any event, your example is definitely not reproducible (no sample data) [1]. Now might also be a good opportunity for you to read the Posting Guide mentioned at the bottom of every message on this list.

[1] http://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
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Sent from my phone. Please excuse my brevity.

Champak Ishram <champak.ishram at gmail.com> wrote:

>Dear  R users/developers
>I requested help to solve the problem of formulating Multivariate
>Sample
>selection model by using Full Information Maximum Likelihood
>(FIML)estimation method. I could not get any response. I formulated the
>following code of FIML to analyse univariate sample selection problem.
>
>library (sem)
>library(nrmlepln)
>
>Selection equation
>ws = c(w1, w2, w3)
>
># values of dependent variables in selection equations are binary  (1
>and 0)
>zs = c(z1, z2, z3, z4, z5)
># z1, z2, z3 continuous and z4 and z5 dummies explanatory variables in
>selection equation
>
>Level equation (extent of particular option use)
>ys = c(y1, y2, y3)
># values of dependent variables are percentage with some zero cases
>xs = c(x1, x2, x3, x4, x5)
># x1, x2, x3 continuous and x4 and x5 dummies dependent variables.
>
>#Note: The variables in both selection and level equations are mostly
>same.
>
>
>                    #Selection model
>
>models1 = 'w1 ~ 1 + zs'
>
> # Level model
>model1 = 'w1 ~ 1 + zs|y1 ~ 1 + xs'
>
>fit.fiml = sem(model1, data=MyRdata, estimator="Fiml") # not sure "ML"
>or
>"Fiml"
>summary(fit.fiml)
>
>
>Regards
>Champak Ishram
>
>	[[alternative HTML version deleted]]
>
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