I tried to follow the tutorial on ordinal regression using stats models from (https://www.statsmodels.org/dev/examples/notebooks/generated/ordinal_regression.html).
import numpy as np
import pandas as pd
import scipy.stats as stats
from statsmodels.miscmodels.ordinal_model import OrderedModel, OrderedResults
url = "https://stats.idre.ucla.edu/stat/data/ologit.dta"
data_student = pd.read_stata(url)
mod_prob = OrderedModel(data_student['apply'],
data_student[['pared', 'public', 'gpa']],
distr='probit')
res_prob = mod_prob.fit(method='bfgs')
my_result = OrderedResults(mod_prob, res_prob)
print(my_result.llr_pvalue)
On trying to run the code for getting the llr pvalue I am getting below error, how to remove it and get the llr pvalue? in the docs https://www.statsmodels.org/dev/generated/statsmodels.miscmodels.ordinal_model.OrderedResults.html the llr_pvalue is mentioned as an attribute
File "/Users/pranavnerurkar/opt/anaconda3/lib/python3.9/site-packages/statsmodels/base/model.py", line 2736, in summary
('AIC:', ["%#8.4g" % self.aic]),
File "pandas/_libs/properties.pyx", line 36, in pandas._libs.properties.CachedProperty.__get__
File "/Users/pranavnerurkar/opt/anaconda3/lib/python3.9/site-packages/statsmodels/base/model.py", line 2360, in aic
return -2 * self.llf + 2 * (self.df_modelwc)
File "pandas/_libs/properties.pyx", line 36, in pandas._libs.properties.CachedProperty.__get__
File "/Users/pranavnerurkar/opt/anaconda3/lib/python3.9/site-packages/statsmodels/base/model.py", line 1403, in llf
return self.model.loglike(self.params)
AttributeError: 'OrderedResults' object has no attribute 'params'
