HiDimDA-package | High Dimensional Discriminant Analysis |
AlonDS | Alon Colon Cancer Data Set |
as.matrix.DMat | DMat objects: diagonal matrices |
as.matrix.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance |
as.matrix.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance |
as.matrix.SigFq | SigFq objects: covariance matrices associated with a q-factor model |
as.matrix.SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model |
canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis. |
clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with 'ldafun' argument set to "classification"). |
coef.canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis. |
coef.clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with 'ldafun' argument set to "classification"). |
CovE | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis |
CovE.canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis. |
CovE.clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with 'ldafun' argument set to "classification"). |
CovE.RFcanlda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis |
CovE.RFcllda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis |
CovE.Scanlda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis |
CovE.Scllda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis |
DACrossVal | Cross Validation for Discriminant Analysis Classification Algorithms |
Dlda | Diagonal Linear Discriminant Analysis. |
Dlda.data.frame | Diagonal Linear Discriminant Analysis. |
Dlda.default | Diagonal Linear Discriminant Analysis. |
DMat | DMat objects: diagonal matrices |
FrobSigAp | Approximation of Covariance Matrices from q-factor models |
FrobSigAp1 | Approximation of Covariance Matrices from q-factor models |
HiDimDA | High Dimensional Discriminant Analysis |
ICovE | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis |
ICovE.canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis. |
ICovE.clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with 'ldafun' argument set to "classification"). |
ICovE.RFcanlda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis |
ICovE.RFcllda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis |
ICovE.Scanlda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis |
ICovE.Scllda | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis |
is.Dlda | Diagonal Linear Discriminant Analysis. |
is.DMat | DMat objects: diagonal matrices |
is.Mlda | Maximum uncertainty Linear Discriminant Analysis. |
is.RFlda | High-Dimensional Factor-based Linear Discriminant Analysis. |
is.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance |
is.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance |
is.SigFq | SigFq objects: covariance matrices associated with a q-factor model |
is.SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model |
is.Slda | Shrunken Linear Discriminant Analysis. |
LeftMult | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
LeftMult.DMat | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
LeftMult.matrix | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
LeftMult.ShrnkMat | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
LeftMult.ShrnkMatInv | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
LeftMult.SigFq | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
LeftMult.SigFqInv | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
Mlda | Maximum uncertainty Linear Discriminant Analysis. |
Mlda.data.frame | Maximum uncertainty Linear Discriminant Analysis. |
Mlda.default | Maximum uncertainty Linear Discriminant Analysis. |
MldaInvE | Maximum uncertainty Linear Discriminant Analysis inverse matrix estimator. |
predict.canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis. |
predict.clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with 'ldafun' argument set to "classification"). |
print.canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis. |
print.clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with 'ldafun' argument set to "classification"). |
print.DMat | DMat objects: diagonal matrices |
print.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance |
print.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance |
print.SigFq | SigFq objects: covariance matrices associated with a q-factor model |
print.SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model |
RFlda | High-Dimensional Factor-based Linear Discriminant Analysis. |
RFlda.data.frame | High-Dimensional Factor-based Linear Discriminant Analysis. |
RFlda.default | High-Dimensional Factor-based Linear Discriminant Analysis. |
RightMult | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
RightMult.DMat | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
RightMult.matrix | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
RightMult.ShrnkMat | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
RightMult.ShrnkMatInv | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
RightMult.SigFq | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
RightMult.SigFqInv | MatMult: Specialized matrix multiplication of 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
SelectV | Variable Selection for High-Dimensional Supervised Classification. |
ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance |
ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance |
ShrnkSigE | Shrunken Covariance Estimate. |
SigFq | SigFq objects: covariance matrices associated with a q-factor model |
SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model |
Slda | Shrunken Linear Discriminant Analysis. |
Slda.data.frame | Shrunken Linear Discriminant Analysis. |
Slda.default | Shrunken Linear Discriminant Analysis. |
solve.DMat | Solve methods for 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
solve.ShrnkMat | Solve methods for 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
solve.ShrnkMatInv | Solve methods for 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
solve.SigFq | Solve methods for 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
solve.SigFqInv | Solve methods for 'DMat', 'ShrnkMat', 'ShrnkMatInv', 'SigFq' and 'SigFqInv' objects. |
*.DMat | DMat objects: diagonal matrices |
*.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance |
*.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance |
*.SigFq | SigFq objects: covariance matrices associated with a q-factor model |
*.SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model |
+.DMat | DMat objects: diagonal matrices |
+.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance |
+.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance |
+.SigFq | SigFq objects: covariance matrices associated with a q-factor model |
+.SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model |
-.DMat | DMat objects: diagonal matrices |
-.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance |
-.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance |
-.SigFq | SigFq objects: covariance matrices associated with a q-factor model |
-.SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model |
/.DMat | DMat objects: diagonal matrices |
/.ShrnkMat | ShrnkMat objects: shrunken matrix estimates of a covariance |
/.ShrnkMatInv | ShrnkMatInv objects: precision (inverse of covariance) matrices associated with shrunken estimates of a covariance |
/.SigFq | SigFq objects: covariance matrices associated with a q-factor model |
/.SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model |