Codes: the AIV.GT algorithm

The codes are for the paper: "Discovering ancestral instrumental variables for causal inference from observational data" IEEE Transactions on Neural Networks and Learning Systems, Debo Cheng and Jiuyong Li and Lin Liu and Kui Yu and Thuc Duy Le and Jixue Liu.

https://ieeexplore.ieee.org/abstract/document/10092521https://arxiv.org/pdf/2206.01931.pdf

For enquiries, please send email to: chedy055@mymail.unisa.edu.au

All codes are written by R language

*AIV.GT

*PossCEs.R

Code for IV.tetrad: iv_tetrad_test.R that is from the authors's home page

http://www.homepages.ucl.ac.uk/~ucgtrbd/code/iv_discovery

Code for sisVIVE: the R package sisVIVE, using the R command: install.packages("sisVIVE")

#Demo **Demo_AIV.GT_syntheticdatasets.R

**Do_VitD.R

**Do_Schoolingreturns.R

Datasets

• Data_Num_0_syn.Rdata #|S|=2
• Data_Num_1_syn.Rdata #|S|=3
• Data_Num_2_syn.Rdata #|S|=4
• Data_Num_3_syn.Rdata #|S|=5
• Data_Num_4_syn.Rdata #|S|=6
• VitD data
• Schoolingreturns data

citation* @article{cheng2023discovering, title={Discovering ancestral instrumental variables for causal inference from observational data}, author={Cheng, Debo and Li, Jiuyong and Liu, Lin and Yu, Kui and Le, Thuc Duy and Liu, Jixue}, journal={IEEE Transactions on Neural Networks and Learning Systems}, year={2023}, publisher={IEEE} }