Frustration to get help R users group
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:<jdnewmil at 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.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.
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
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