Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch>, Jonas Peters <jonas.peters@math.ku.dk> |
| Maintainer | Christina Heinze-Deml <heinzedeml@stat.math.ethz.ch> |
| License | GPL |
| Version | 0.1.2.1 |
| URL | https://github.com/christinaheinze/nonlinearICP-and-CondIndTests |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the nonlinearICP package in your browser
Any scripts or data that you put into this service are public.
