Index

B | C | D | E | M | O | P | R | S | T | W

B

Blocking (class in causalinference.estimators.blocking)

C

causalinference.causal (module)
causalinference.core.data (module)
causalinference.core.propensity (module)
causalinference.core.strata (module)
causalinference.core.summary (module)
causalinference.estimators.base (module)
causalinference.estimators.blocking (module)
causalinference.estimators.matching (module)
causalinference.estimators.ols (module)
causalinference.estimators.weighting (module)
causalinference.utils.tools (module)
CausalModel (class in causalinference.causal)

D

Data (class in causalinference.core.data)
Dict (class in causalinference.core.data)

E

est_propensity() (causalinference.causal.CausalModel method)
est_propensity_s() (causalinference.causal.CausalModel method)
est_via_blocking() (causalinference.causal.CausalModel method)
est_via_matching() (causalinference.causal.CausalModel method)
est_via_ols() (causalinference.causal.CausalModel method)
est_via_weighting() (causalinference.causal.CausalModel method)
Estimator (class in causalinference.estimators.base)
Estimators (class in causalinference.estimators.base)

M

Matching (class in causalinference.estimators.matching)

O

OLS (class in causalinference.estimators.ols)

P

Propensity (class in causalinference.core.propensity)
PropensitySelect (class in causalinference.core.propensity)

R

random_data() (in module causalinference.utils.tools)
reset() (causalinference.causal.CausalModel method)

S

Strata (class in causalinference.core.strata)
stratify() (causalinference.causal.CausalModel method)
stratify_s() (causalinference.causal.CausalModel method)
Summary (class in causalinference.core.summary)

T

trim() (causalinference.causal.CausalModel method)
trim_s() (causalinference.causal.CausalModel method)

W

Weighting (class in causalinference.estimators.weighting)