fgr1st | R Documentation |

Calculates an independence graph using Gaussian stepwise selection

fgr1st(x,p0=0.01,ind=0,kmn=0,kmx=0,nedge=10^5,inr=T,xinr=F)

`x` |
The matrix of covariates |

`p0` |
Cut-off P-value |

`ind` |
Restricts the dependent nodes to this subset |

`kmn` |
The minimum number selected variables for each node irrespective of cut-off P-value |

`kmx` |
The maximum number selected variables for each node irrespective of cut-off P-value |

`nedge` |
Maximum number of edges |

`inr` |
Logical, if TRUE include an intercept |

`xinr` |
Logical, if TRUE intercept already included |

ned Number of edges

edg List of edges together with P-values for each edge and proportional reduction of sum of squared residuals.

data(boston) a<-fgr1st(boston[,1:13],ind=3:6)

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