nonlinearICP
Invariant Causal Prediction for Nonlinear Models
Performs 'nonlinear Invariant Causal Prediction' to estimate the causal parents of a given target variable from data collected in different experimental or environmental conditions, extending 'Invariant Causal Prediction' from Peters, Buehlmann and Meinshausen (2016), <arXiv:1501.01332>, to nonlinear settings. For more details, see C. Heinze-Deml, J. Peters and N. Meinshausen: 'Invariant Causal Prediction for Nonlinear Models', <arXiv:1706.08576>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.2.1 |
rolling linux/jammy R-4.5 | nonlinearICP_0.1.2.1.tar.gz |
56.5 KiB |
0.1.2.1 |
rolling linux/noble R-4.5 | nonlinearICP_0.1.2.1.tar.gz |
56.5 KiB |
0.1.2.1 |
rolling source/ R- | nonlinearICP_0.1.2.1.tar.gz |
24.0 KiB |
0.1.2.1 |
latest linux/jammy R-4.5 | nonlinearICP_0.1.2.1.tar.gz |
56.5 KiB |
0.1.2.1 |
latest linux/noble R-4.5 | nonlinearICP_0.1.2.1.tar.gz |
56.5 KiB |
0.1.2.1 |
latest source/ R- | nonlinearICP_0.1.2.1.tar.gz |
24.0 KiB |
0.1.2.1 |
2026-04-26 source/ R- | nonlinearICP_0.1.2.1.tar.gz |
24.0 KiB |
0.1.2.1 |
2026-04-23 source/ R- | nonlinearICP_0.1.2.1.tar.gz |
24.0 KiB |
0.1.2.1 |
2026-04-09 windows/windows R-4.5 | nonlinearICP_0.1.2.1.zip |
60.1 KiB |
0.1.2.1 |
2025-04-20 source/ R- | nonlinearICP_0.1.2.1.tar.gz |
24.0 KiB |