data

This repository includes data for count models and a tutorial for how to use the Metacountregressor python package.

Follow the Step_by_Step_Synthetic.ipynb script for details on how to use the code.

The synthetic script was how the synthetic data was generated.

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
Results		Results
Ex-16-3.csv		Ex-16-3.csv
README.md		README.md
Step By Step.ipynb		Step By Step.ipynb
Step By Step_Synthetic.ipynb		Step By Step_Synthetic.ipynb
Synthetic.ipynb		Synthetic.ipynb
artificial_ZA.csv		artificial_ZA.csv
artificial_mixed_corr_2023_MOOF.csv		artificial_mixed_corr_2023_MOOF.csv
d_hm.csv		d_hm.csv
d_hm_coedd.csv		d_hm_coedd.csv
d_rp.csv		d_rp.csv
m.png		m.png
paper_lastpart.py		paper_lastpart.py
random_coefficients.csv		random_coefficients.csv
random_parameter_standard_deviations.csv		random_parameter_standard_deviations.csv
rural_int.csv		rural_int.csv
synth.csv		synth.csv
synthetic_data.csv		synthetic_data.csv
synthetic_data_with_random_coefficients.csv		synthetic_data_with_random_coefficients.csv
variable_mapping.csv		variable_mapping.csv

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