Python 2모수 모형

1 개요

Python IRT 2모수 모형

Python 문항반응이론 2PLM

Python 문항반응이론 2모수 모형

2 Joint Maximum Likelihood (JML)

import numpy as np
import pandas as pd
import girth
df = pd.read_csv("https://github.com/jmnote/zdata/raw/master/github.com/cran/ltm/data/LSAT.csv")
m = np.transpose(df.values)
estimates = girth.twopl_jml(m)
pd.DataFrame(estimates)

3 Maximum Marginal Likelihood (MML)

import numpy as np
import pandas as pd
import girth
df = pd.read_csv("https://github.com/jmnote/zdata/raw/master/github.com/cran/ltm/data/LSAT.csv")
m = np.transpose(df.values)
estimates = girth.twopl_mml(m)
pd.DataFrame({k: estimates[k] for k in ('Discrimination','Difficulty')})

4 같이 보기

• 2모수 모형
• LSAT 데이터
• Python 문항반응이론
• Python 문항반응이론 1모수 모형
• Python 문항반응이론 3모수 모형
• R 문항반응이론 2모수 모형