Dear all,
After several attempts to fix a recurring error when running the following commands within merlin, I am hoping to get som further guidance from the forum.
For demosntration purposes, I'm using a public dataset: https://stats.idre.ucla.edu/stat/data/ologit.dta
The problem appears to be independent of the actual dataset.
-----------------
The "traditional" ordinal logic regression runs w/o any issues:
Thank you all for your help!
After several attempts to fix a recurring error when running the following commands within merlin, I am hoping to get som further guidance from the forum.
For demosntration purposes, I'm using a public dataset: https://stats.idre.ucla.edu/stat/data/ologit.dta
The problem appears to be independent of the actual dataset.
Code:
use https://stats.idre.ucla.edu/stat/data/ologit.dta, clear
merlin(apply gpa, family(ologit))
Fitting full model:
merlin_logl_ologit(): 3001 expected 1 arguments but received 3
merlin_logl_ob(): - function returned error
merlin_gf(): - function returned error
mopt__calluser_v(): - function returned error
opt__v0_calluser(): - function returned error
deriv__call1user_v(): - function returned error
_deriv__compute_value(): - function returned error
_deriv(): - function returned error
opt__eval_nr_v0(): - function returned error
opt__eval(): - function returned error
opt__looputil_iter0_common(): - function returned error
opt__looputil_iter0_nr(): - function returned error
opt__loop_nr(): - function returned error
opt__loop(): - function returned error
_moptimize(): - function returned error
Mopt_maxmin(): - function returned error
<istmt>: - function returned error
r(3001);
end of do-file
The "traditional" ordinal logic regression runs w/o any issues:
Code:
.
use https://stats.idre.ucla.edu/stat/data/ologit.dta, clear
ologit(apply gpa)
Iteration 0: Log likelihood = -370.60264
Iteration 1: Log likelihood = -366.30573
Iteration 2: Log likelihood = -366.29998
Iteration 3: Log likelihood = -366.29998
Ordered logistic regression Number of obs = 400
LR chi2(1) = 8.61
Prob > chi2 = 0.0034
Log likelihood = -366.29998 Pseudo R2 = 0.0116
------------------------------------------------------------------------------
apply | Coefficient Std. err. z P>|z| [95% conf. interval]
-------------+----------------------------------------------------------------
gpa | .7248719 .2493023 2.91 0.004 .2362484 1.213495
-------------+----------------------------------------------------------------
/cut1 | 2.374854 .7569947 .891172 3.858537
/cut2 | 4.399911 .7814832 2.868232 5.93159
------------------------------------------------------------------------------
.
end of do-file
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