data
causalis.dgp.causaldata.preperiod.CorrMethodCorrMethod
Value: None
None
Python Docs
causalis
Reference
Package entry
causalisRoot package overview and namespace mapNamespaces
Submodule
causalis.dgp.causaldata.preperiodpreperiod
Submodule causalis.dgp.causaldata.preperiod with no child pages and 14 documented members.
Classes
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1 items
Functions
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3 items
Data
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2 items
data
causalis.dgp.causaldata.preperiod.TransformTransform
Value: None
None
function
causalis.dgp.causaldata.preperiod.corr_on_scalecorr_on_scale
class
causalis.dgp.causaldata.preperiod.PreCorrSpecPreCorrSpec
attribute
causalis.dgp.causaldata.preperiod.PreCorrSpec.target_corrtarget_corr
Value: 0.7
0.7
attribute
causalis.dgp.causaldata.preperiod.PreCorrSpec.transformtransform
Value: 'log1p'
‘log1p’
attribute
causalis.dgp.causaldata.preperiod.PreCorrSpec.winsor_qwinsor_q
Value: 0.999
0.999
attribute
causalis.dgp.causaldata.preperiod.PreCorrSpec.methodmethod
Value: 'pearson'
‘pearson’
attribute
causalis.dgp.causaldata.preperiod.PreCorrSpec.sigma_losigma_lo
Value: 0.0
0.0
attribute
causalis.dgp.causaldata.preperiod.PreCorrSpec.sigma_hisigma_hi
Value: 50.0
50.0
attribute
causalis.dgp.causaldata.preperiod.PreCorrSpec.sigma_tolsigma_tol
Value: 0.001
0.001
attribute
causalis.dgp.causaldata.preperiod.PreCorrSpec.max_itermax_iter
Value: 40
40
function
causalis.dgp.causaldata.preperiod.calibrate_sigma_for_target_corrcalibrate_sigma_for_target_corr
Find sigma such that Corr(T(y_pre_base + sigma*eps), T(y_post)) ~ target_corr. Returns (sigma, achieved_corr).
Canonical target
causalis.dgp.causaldata.preperiod.calibrate_sigma_for_target_corr
function
causalis.dgp.causaldata.preperiod.add_preperiod_covariateadd_preperiod_covariate
Standardized utility to add a calibrated pre-period covariate to a DataFrame.
Parameters
- dfpd.DataFrame
The dataset.
- y_colstr
Name of the outcome column.
- d_colstr
Name of the treatment column.
- pre_namestr
Name of the new pre-period covariate column.
- base_buildercallable
Function df -> y_pre_base (np.ndarray) providing the shared signal.
- specPreCorrSpec
Specification for target correlation and scale.
- rngnp.random.Generator
Random number generator.
- masknp.ndarray, optional
Boolean mask of rows to use for calibration (e.g. control group). If None, use control group (d == 0).
Canonical target
causalis.dgp.causaldata.preperiod.add_preperiod_covariate
Sections
Parameters