Description Usage Arguments Details Value Author(s) References Examples

Binary rules can be expressed

1 | ```
getLogLikeRatio(object)
``` |

`object` |
an object of type LinearRule or QuadraticRule. |

Get everything that defines a log likelihood ratio between two gaussian measures.

A list, see `getLogLikeRatio-methods`

Robin Girard

Fast rate of convergence in high dimensional linear discriminant analysis. R. Girard To appear in Journal of Nonparametric Statistics.\ Very high dimensional discriminant analysis with thresholding estimation. R. Girard. Submitted.

1 2 3 4 5 6 7 8 9 10 11 12 | ```
p=100; n=20 ; mu=array(0,c(p,4)); mu[1:10,1]=2 ;mu[11:20,2]=2;C=array(c(1,20),p)
mu[21:30,3]=2
x=NULL; y=NULL;
for (k in 1:4){
x=rbind(x,t(array(C^(1/2),c(p,n))*(matrix(rnorm(p*n),nrow=p,ncol=n))+array(mu[,k],c(p,n))));
y=c(y,array(k,n))}
#Learning
LearnedLinearPartitionWithLLR=learnPartitionWithLLR(x,y,procedure='FDRThresh')
Rule=getBinaryRule(LearnedLinearPartitionWithLLR,1,2)
LLR=getLogLikeRatio(Rule)
print(LLR)
``` |

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