Index

Symbols

2SLS

_

__init__() (causalpy.pymc_experiments.DifferenceInDifferences method), [1] (causalpy.pymc_experiments.ExperimentalDesign method), [1] (causalpy.pymc_experiments.InstrumentalVariable method), [1] (causalpy.pymc_experiments.InterruptedTimeSeries method), [1] (causalpy.pymc_experiments.InversePropensityWeighting method), [1] (causalpy.pymc_experiments.PrePostFit method), [1] (causalpy.pymc_experiments.PrePostNEGD method), [1] (causalpy.pymc_experiments.RegressionDiscontinuity method), [1] (causalpy.pymc_experiments.RegressionKink method), [1] (causalpy.pymc_experiments.SyntheticControl method), [1] (causalpy.pymc_models.InstrumentalVariableRegression method), [1] (causalpy.pymc_models.LinearRegression method), [1] (causalpy.pymc_models.ModelBuilder method), [1] (causalpy.pymc_models.PropensityScore method), [1] (causalpy.pymc_models.WeightedSumFitter method), [1] (causalpy.skl_experiments.DifferenceInDifferences method), [1] (causalpy.skl_experiments.ExperimentalDesign method), [1] (causalpy.skl_experiments.InterruptedTimeSeries method), [1] (causalpy.skl_experiments.PrePostFit method), [1] (causalpy.skl_experiments.RegressionDiscontinuity method), [1] (causalpy.skl_experiments.SyntheticControl method), [1] (causalpy.skl_models.WeightedProportion method), [1]

__new__() (causalpy.pymc_experiments.DifferenceInDifferences method) (causalpy.pymc_experiments.ExperimentalDesign method) (causalpy.pymc_experiments.InstrumentalVariable method) (causalpy.pymc_experiments.InterruptedTimeSeries method) (causalpy.pymc_experiments.InversePropensityWeighting method) (causalpy.pymc_experiments.PrePostFit method) (causalpy.pymc_experiments.PrePostNEGD method) (causalpy.pymc_experiments.RegressionDiscontinuity method) (causalpy.pymc_experiments.RegressionKink method) (causalpy.pymc_experiments.SyntheticControl method) (causalpy.pymc_models.InstrumentalVariableRegression static method) (causalpy.pymc_models.LinearRegression static method) (causalpy.pymc_models.ModelBuilder static method) (causalpy.pymc_models.PropensityScore static method) (causalpy.pymc_models.WeightedSumFitter static method) (causalpy.skl_experiments.DifferenceInDifferences method) (causalpy.skl_experiments.ExperimentalDesign method) (causalpy.skl_experiments.InterruptedTimeSeries method) (causalpy.skl_experiments.PrePostFit method) (causalpy.skl_experiments.RegressionDiscontinuity method) (causalpy.skl_experiments.SyntheticControl method) (causalpy.skl_models.WeightedProportion method)

A

add_coord() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) add_coords() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

add_named_variable() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) ANCOVA ATE ATT Average treatment effect Average treatment effect on the treated

B

build_model() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

C

Causal impact causalpy.data module causalpy.data.datasets module causalpy.data.simulate_data module causalpy.pymc_experiments module causalpy.pymc_models module causalpy.skl_experiments module causalpy.skl_models module Change score analysis check_start_vals() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) CITS Comparative interrupted time-series compile_d2logp() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

compile_dlogp() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) compile_fn() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) compile_logp() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) Confound Counterfactual create_series() (in module causalpy.data.simulate_data) create_value_var() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

D

d2logp() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) debug() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

DiD Difference in differences DifferenceInDifferences (class in causalpy.pymc_experiments) (class in causalpy.skl_experiments) dlogp() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

E

Endogenous Variable eval_rv_shapes() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

ExperimentalDesign (class in causalpy.pymc_experiments) (class in causalpy.skl_experiments)

F

fit() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) (causalpy.skl_models.WeightedProportion method)

G

generate_ancova_data() (in module causalpy.data.simulate_data) generate_did() (in module causalpy.data.simulate_data) generate_geolift_data() (in module causalpy.data.simulate_data) generate_multicell_geolift_data() (in module causalpy.data.simulate_data) generate_regression_discontinuity_data() (in module causalpy.data.simulate_data) generate_seasonality() (in module causalpy.data.simulate_data) generate_synthetic_control_data() (in module causalpy.data.simulate_data) generate_time_series_data() (in module causalpy.data.simulate_data) generate_time_series_data_seasonal() (in module causalpy.data.simulate_data)

generate_time_series_data_simple() (in module causalpy.data.simulate_data) get_2SLS_fit() (causalpy.pymc_experiments.InstrumentalVariable method) get_ate() (causalpy.pymc_experiments.InversePropensityWeighting method) get_coeffs() (causalpy.skl_experiments.InterruptedTimeSeries method) (causalpy.skl_experiments.PrePostFit method) (causalpy.skl_experiments.SyntheticControl method) get_metadata_routing() (causalpy.skl_models.WeightedProportion method) get_naive_OLS_fit() (causalpy.pymc_experiments.InstrumentalVariable method) get_params() (causalpy.skl_models.WeightedProportion method)

I

initial_point() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) Instrumental Variable regression InstrumentalVariable (class in causalpy.pymc_experiments)

InstrumentalVariableRegression (class in causalpy.pymc_models) Interrupted time series design InterruptedTimeSeries (class in causalpy.pymc_experiments) (class in causalpy.skl_experiments) InversePropensityWeighting (class in causalpy.pymc_experiments) ITS IV

L

LATE LinearRegression (class in causalpy.pymc_models) load_data() (in module causalpy.data.datasets) Local Average Treatment effect logp() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

logp_dlogp_function() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) loss() (causalpy.skl_models.WeightedProportion method)

M

make_doubly_robust_adjustment() (causalpy.pymc_experiments.InversePropensityWeighting method) make_obs_var() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) make_overlap_adjustments() (causalpy.pymc_experiments.InversePropensityWeighting method) make_raw_adjustments() (causalpy.pymc_experiments.InversePropensityWeighting method) make_robust_adjustments() (causalpy.pymc_experiments.InversePropensityWeighting method)

ModelBuilder (class in causalpy.pymc_models) module causalpy.data causalpy.data.datasets causalpy.data.simulate_data causalpy.pymc_experiments causalpy.pymc_models causalpy.skl_experiments causalpy.skl_models

N

name_for() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) name_of() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

NEGD Non-equivalent group designs

O

One-group posttest-only design

P

Panel data Parallel trends assumption periodic_kernel() (in module causalpy.data.simulate_data) plot() (causalpy.pymc_experiments.DifferenceInDifferences method) (causalpy.pymc_experiments.InterruptedTimeSeries method) (causalpy.pymc_experiments.PrePostFit method) (causalpy.pymc_experiments.PrePostNEGD method) (causalpy.pymc_experiments.RegressionDiscontinuity method) (causalpy.pymc_experiments.RegressionKink method) (causalpy.pymc_experiments.SyntheticControl method) (causalpy.skl_experiments.DifferenceInDifferences method) (causalpy.skl_experiments.InterruptedTimeSeries method) (causalpy.skl_experiments.PrePostFit method) (causalpy.skl_experiments.RegressionDiscontinuity method) (causalpy.skl_experiments.SyntheticControl method) plot_ATE() (causalpy.pymc_experiments.InversePropensityWeighting method) plot_balance_ecdf() (causalpy.pymc_experiments.InversePropensityWeighting method) plot_coeffs() (causalpy.skl_experiments.InterruptedTimeSeries method) (causalpy.skl_experiments.PrePostFit method) (causalpy.skl_experiments.SyntheticControl method) point_logps() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) predict() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) (causalpy.skl_models.WeightedProportion method)

PrePostFit (class in causalpy.pymc_experiments) (class in causalpy.skl_experiments) PrePostNEGD (class in causalpy.pymc_experiments) Pretest-posttest design print_coefficients() (causalpy.pymc_experiments.DifferenceInDifferences method) (causalpy.pymc_experiments.ExperimentalDesign method) (causalpy.pymc_experiments.InstrumentalVariable method) (causalpy.pymc_experiments.InterruptedTimeSeries method) (causalpy.pymc_experiments.InversePropensityWeighting method) (causalpy.pymc_experiments.PrePostFit method) (causalpy.pymc_experiments.PrePostNEGD method) (causalpy.pymc_experiments.RegressionDiscontinuity method) (causalpy.pymc_experiments.RegressionKink method) (causalpy.pymc_experiments.SyntheticControl method) (causalpy.skl_experiments.DifferenceInDifferences method) (causalpy.skl_experiments.ExperimentalDesign method) (causalpy.skl_experiments.InterruptedTimeSeries method) (causalpy.skl_experiments.PrePostFit method) (causalpy.skl_experiments.RegressionDiscontinuity method) (causalpy.skl_experiments.SyntheticControl method) profile() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) Propensity scores PropensityScore (class in causalpy.pymc_models)

Q

Quasi-experiment

R

Random assignment Randomized experiment RDD register_data_var() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) register_rv() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

Regression discontinuity design Regression kink design RegressionDiscontinuity (class in causalpy.pymc_experiments) (class in causalpy.skl_experiments) RegressionKink (class in causalpy.pymc_experiments) replace_rvs_by_values() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) Running variable

S

sample_predictive_distribution() (causalpy.pymc_models.InstrumentalVariableRegression method) score() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) (causalpy.skl_models.WeightedProportion method) set_data() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) set_dim() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) set_initval() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

set_params() (causalpy.skl_models.WeightedProportion method) set_score_request() (causalpy.skl_models.WeightedProportion method) shape_from_dims() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method) Sharp regression discontinuity design summary() (causalpy.pymc_experiments.DifferenceInDifferences method) (causalpy.pymc_experiments.InterruptedTimeSeries method) (causalpy.pymc_experiments.PrePostFit method) (causalpy.pymc_experiments.PrePostNEGD method) (causalpy.pymc_experiments.RegressionDiscontinuity method) (causalpy.pymc_experiments.RegressionKink method) (causalpy.pymc_experiments.SyntheticControl method) (causalpy.skl_experiments.DifferenceInDifferences method) (causalpy.skl_experiments.InterruptedTimeSeries method) (causalpy.skl_experiments.PrePostFit method) (causalpy.skl_experiments.RegressionDiscontinuity method) (causalpy.skl_experiments.SyntheticControl method) Synthetic control SyntheticControl (class in causalpy.pymc_experiments) (class in causalpy.skl_experiments)

T

to_graphviz() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

TOT Treatment effect Treatment on the treated effect Two Stage Least Squares

U

update_start_vals() (causalpy.pymc_models.InstrumentalVariableRegression method) (causalpy.pymc_models.LinearRegression method) (causalpy.pymc_models.ModelBuilder method) (causalpy.pymc_models.PropensityScore method) (causalpy.pymc_models.WeightedSumFitter method)

W

weighted_percentile() (causalpy.pymc_experiments.InversePropensityWeighting method) WeightedProportion (class in causalpy.skl_models)

WeightedSumFitter (class in causalpy.pymc_models) Wilkinson notation