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 --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity. Champak Ishram <champak.ish...@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. >Would you please advise me where is my 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) > >I greatly appreciate your help. > >Advance thank you. >Regards >Champak Ishram > > [[alternative HTML version deleted]] > >______________________________________________ >R-help@r-project.org mailing list >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide >http://www.R-project.org/posting-guide.html >and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
