generate_time_series_data

causalpy.data.simulate_data.generate_time_series_data(N=100, treatment_time=70, beta_temp=-1, beta_linear=0.5, beta_intercept=3)

Generates interrupted time series example data

Parameters:

• N (int) – Length of the time series

• treatment_time (int) – Index of when treatment begins

• beta_temp (float) – The temperature coefficient

• beta_linear (float) – The linear coefficient

• beta_intercept (float) – The intercept

Return type:

DataFrame