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The code takes an n x p data matrix and fits a Causal Additive Model (CAM) for estimating the causal structure of the underlying process. The output is a p x p adjacency matrix (a one in entry (i,j) indicates an edge from i to j). Details of the algorithm can be found in: P. Bühlmann, J. Peters, J. Ernest: "CAM: Causal Additive Models, high-dimensional order search and penalized regression", Annals of Statistics 42:2526-2556, 2014.
Package details |
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Author | Jonas Peters and Jan Ernest |
Maintainer | Jonas Peters <jonas.peters@tuebingen.mpg.de> |
License | FreeBSD |
Version | 1.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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