st: GLLAMM: Predict Class Membership

[m.spitzenpfeil@gmx.net]

Hi,

is there any way to predict individual latent class membership
as a dummy variable - and not in terms of probability - using
GLLAMM?

My modell is structurally equivalent to the Myocardial Infarction Example:
http://www.gllamm.org/examples.html
  http://www.gllamm.org/data_dofile.zip

insheet using mi.dat, clear
rename q y1
rename h y2
rename l y3
rename c y4
gen wt2 = count
gen patt=_n

reshape long y, i(patt) j(var)
tab var, gen(v)

eq v1: v1
eq v2: v2
eq v3: v3
eq v4: v4

gllamm y, i(patt) ip(fn) nip(2)  eqs(v1 v2 v3 v4) /*
  */ weight(wt) nrf(4) l(logit) f(binom) nocons



Thanks for your help!

Martin
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