Repository for Categorical Data Analysis 2021/22 [summer semester]

Lectures, notes

1. Distributions: basics, codes in Python, R and Julia
2. Generating pseudo random numbers: basic, codes in Python, R and Julia
3. Maximum likelihood estimation: codes in Python, R and Julia
4. Goodness of fit statistics: codes in Python, R and Julia
5. Contingency tables, capture-recapture (dual-estimation system): codes in Python, R and Julia
6. Simple correspondence analysis: codes in Python, R and Julia
7. Categorical data in regression: codes in Python, R and Julia
8. Generalized Linear Models (GLMs): codes in Python, R and Julia
9. GLMs: poisson and NB regression, evaluation, comparision: codes in Python, R and Julia
10. Logistic regression -- part 1: codes in Python, R and Julia
11. GEE models: codes in Python, R and Julia

Homeworks

1. MaxLik and Poisson solution using R
2. Proof for $\hat{N}=n_1n_2/n_{11}$ using MaxLik method.