www.cmm.bristol.ac.uk/forum

Hi,

I wonder if there exists some kind of thumb-rule for finding which level-1 predictors should be allowed to have heterogeneity in the random part. In the book "Developing multilevel models for analyzing contextuality, heterogeneity and change using MLwiN3" on page 78-79 it only says that ...

It works that way that the imputation needs 10 hours and then crashed the system. Afterward, nothing is displayed anymore. But I will try again and hope it works or some clear error message appears.

The following is the string input:
{'want2': 'No', 'numimpute': '10', 'bin1_5': 'Unordered', 'ncatsPOLITICAL': '3', 'imputefirst': '1000', 'MOIlevel': '2 levels', 'bin1_3': 'Binary', 'bin1_2': 'Binary', 'bin1_1': 'Normal', 'bin1_7': 'Normal', 'bin1_6': 'Normal', 'iterations': '250', 'bin1_4 ...

Hi,
I have the same error message and when I check the black command window there are this kind of message:

….\python27_compiled\sc_c3d528436cdc971e035966e30b71f59b2.cpp: In function 'PyObject* compiled_func(PyObject*, PyObject*)':
….\python27_compiled\sc_c3d528436cdc971e035966e30b71f59b2.cpp:5527 ...