f3sti | R Documentation |

Selection of covariates with given excluded covariates

f3sti(y,x,covch,ind,m,kexmx=100,p0=0.01,nu=1,kmn=0,kmx=0, mx=21,lm=1000,kex=0,sub=T,inr=T,xinr=F,qq=0,lm0=0)

`y` |
Dependent variable |

`x` |
Covariates |

`covch` |
Sum of squared residuals and selected covariates |

`ind` |
The excluded covariates |

`m` |
Number of iterations |

`kexmx` |
The maximum number of covariates in an approximation. |

`p0` |
The P-value cut-off |

`nu` |
The order statistic of Gaussian covariates used for comparison |

`kmn` |
The minimum number of included covariates irrespective of cut-off P-value |

`kmx` |
The maximum number of included covariates irrespective of cut-off P-value. |

`mx` |
The maximum number covariates for an all subset search |

`lm` |
The maximum number of approximations. |

`kex` |
The excluded covariates |

`sub` |
Logical if TRUE best subset selected |

`inr` |
Logical if TRUE include intercept if not present |

`xinr` |
Logical if TRUE intercept already present |

`qq` |
The number of covariates to choose from. If qq=0 the number of covariates of x is used. |

`lm0` |
The current number of approximations |

ind1 The excluded covariates

covch The sum of squared residuals and the selected covariates ordered in increasing size of sum of squared residuals

lm0 The current number of approximations.

data(leukemia) covch=c(2.023725,1182,1219,2888,0) covch<-matrix(covch,nrow=1,ncol=5) ind<-c(1182,1219,2888) ind<-matrix(ind,nrow=3,ncol=1) m<-1 a<-f3sti(leukemia[[1]],leukemia[[2]],covch,ind,m)

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