CausalFX: Methods for Estimating Causal Effects from Observational Data

Estimate causal effects of one variable on another, currently for binary data only. Methods include instrumental variable bounds, adjustment by a given covariate set, adjustment by an induced covariate set using a variation of the PC algorithm, and an effect bounding method (the Witness Protection Program) based on covariate adjustment with observable independence constraints.

AuthorRicardo Silva [cre, aut], Robin Evans [aut]
Date of publication2015-05-20 17:10:47
MaintainerRicardo Silva <ricardo@stats.ucl.ac.uk>
LicenseGPL (>= 2)
Version1.0.1
http://github.com/rbas2015/CausalFX

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