CAM (version 1.0)

Causal Additive Model (CAM)

Description

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.

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Install

install.packages('CAM')

Monthly Downloads

11

Version

1.0

License

FreeBSD

Maintainer

Last Published

March 5th, 2015

Functions in CAM (1.0)