Python 2모수 모형

1 개요[ | ]

Python IRT 2모수 모형
Python 문항반응이론 2PLM
Python 문항반응이론 2모수 모형

2 JML[ | ]

Joint Maximum Likelihood(JML) Method

Python

CPU

5.5s

MEM

180M

6.3s

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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)

	Discrimination	Difficulty
0	0.331327	-6.000000
1	4.000000	0.325693
2	0.250000	2.722645
3	4.000000	0.200589
4	1.048429	-1.055542

3 MML[ | ]

Maximum Marginal Likelihood(MML) Method

Python

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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')})

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4 같이 보기[ | ]