= 156
SAMPLE_SIZE = 2
N_INDEPVAR = 2
N_CONFOUNDER = 1
NOISE_SIGMA = 42
RANDOM_SEED
= generate_ols_data(
data
SAMPLE_SIZE, N_INDEPVAR, =N_CONFOUNDER,
n_confounder=NOISE_SIGMA,
noise_sigma=RANDOM_SEED)
random_seed data.head()
<xarray.Dataset> Size: 240B Dimensions: (Index: 5) Coordinates: * Index (Index) int64 40B 0 1 2 3 4 Data variables: var_0 (Index) float64 40B 0.5611 0.9553 -1.824 0.5083 0.162 var_1 (Index) float64 40B -1.173 0.6022 -1.697 -1.17 -1.124 con_0 (Index) float64 40B 1.744 0.828 0.06655 0.9896 0.7824 con_1 (Index) float64 40B 0.439 -0.2966 -0.6974 -1.178 -0.1907 depvar (Index) float64 40B 2.91 -6.19 9.812 2.616 3.067 Attributes: true_betas: {'var_0': -2.081, 'var_1': -4.826, 'con_0': 0.644, 'con_1': ... true_alpha: -1.216