getLogLikeRatio-methods: ~~ Methods for Function getLogLikeRatio ~~
In VHDClassification: Discrimination/Classification in very high dimension with linear and quadratic rules.
Description
~~ Methods for function getLogLikeRatio ~~
Methods
signature(object = "LinearRule") Returns a list with NormalVector and CenterVector. The loglikelihood ratio on x can be evaluated by
L(x)=1/2<NormalVector,x-CenterVector>.
signature(object = "QuadraticRule") returns a list with a NormalVector, CenterVector, FormVector (3 vectors) and a numeric constant Constant. The loglikelihood ratio on x can be evaluated by
L(x)=-1/2<diag(FormVector)(x-CenterVector),x-CenterVector>+<NormalVector,x-CenterVector> -Constant
VHDClassification documentation built on May 2, 2019, 2:38 a.m.
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Description
~~ Methods for function getLogLikeRatio ~~
Methods
signature(object = "LinearRule")Returns a list with NormalVector and CenterVector. The loglikelihood ratio on x can be evaluated by L(x)=1/2<NormalVector,x-CenterVector>.
signature(object = "QuadraticRule")returns a list with a NormalVector, CenterVector, FormVector (3 vectors) and a numeric constant Constant. The loglikelihood ratio on x can be evaluated by L(x)=-1/2<diag(FormVector)(x-CenterVector),x-CenterVector>+<NormalVector,x-CenterVector> -Constant
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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