Deriving Expressions of Joint Interventional Distributions and Transport Formulas in Causal Models
Identify a causal effect using surrogate experiments
Identify a causal effect
Deriving Expressions of Joint Interventional Distributions and Transpo...
Derive a transport formula for a causal effect between a target domain...
Get the expression of a probability object
Derive a transport formula for a causal effect between a target domain...
Prepare GraphML files for internal use
Recover a causal effect from selection bias
Derive a formula for a causal effect using surrogate outcomes
Derive a transport formula for a causal effect between two domains
Find Verma constraints for a given graph
Functions for identification and transportation of causal effects. Provides a conditional causal effect identification algorithm (IDC) by Shpitser, I. and Pearl, J. (2006) <http://ftp.cs.ucla.edu/pub/stat_ser/r329-uai.pdf>, an algorithm for transportability from multiple domains with limited experiments by Bareinboim, E. and Pearl, J. (2014) <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>, and a selection bias recovery algorithm by Bareinboim, E. and Tian, J. (2015) <http://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf>. All of the previously mentioned algorithms are based on a causal effect identification algorithm by Tian , J. (2002) <http://ftp.cs.ucla.edu/pub/stat_ser/r309.pdf>.