HiDimDA v0.2-4
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High Dimensional Discriminant Analysis
Performs linear discriminant analysis in high dimensional
problems based on reliable covariance estimators for problems
with (many) more variables than observations. Includes routines
for classifier training, prediction, cross-validation and
variable selection.
Functions in HiDimDA
Name | Description | |
clldaRes | Class object used for storing the results of a high-dimensional linear discriminant analysis routine (with ldafun argument set to classification). | |
DMat | DMat objects: diagonal matrices | |
Dlda | Diagonal Linear Discriminant Analysis. | |
FrobSigAp | Approximation of Covariance Matrices from q-factor models | |
MatMult | MatMult: Specialized matrix multiplication of DMat, ShrnkMat, ShrnkMatInv, SigFq and SigFqInv objects. | |
AlonDS | Alon Colon Cancer Data Set | |
HiDimDA-internal | Internal HiDimDA Functions | |
CovE | Generic methods for extracting covariance and inverse covariance matrices from objects storing the results of a Linear Discriminant Analysis | |
Mlda | Maximum uncertainty Linear Discriminant Analysis. | |
canldaRes | Class object used for storing the results of a canonical high-dimensional linear discriminant analysis. | |
RFlda | High-Dimensional Factor-based Linear Discriminant Analysis. | |
SigFq | SigFq objects: covariance matrices associated with a q-factor model | |
MldaInvE | Maximum uncertainty Linear Discriminant Analysis inverse matrix estimator. | |
SelectV | Variable Selection for High-Dimensional Supervised Classification. | |
SigFqInv | SigFqInv objects: precision (inverse of covariance) matrices associated with a q-factor model | |
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. | |
Slda | Shrunken Linear Discriminant Analysis. | |
solve | Solve methods for DMat, ShrnkMat, ShrnkMatInv, SigFq and SigFqInv objects. | |
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Details
Type | Package |
Date | 2015-10-18 |
LazyLoad | yes |
LazyData | yes |
License | GPL (>= 3) |
URL | http://www.r-project.org |
Repository | CRAN |
NeedsCompilation | yes |
Packaged | 2015-10-18 17:56:43 UTC; antonio |
Date/Publication | 2015-10-19 08:41:33 |
suggests | MASS |
depends | R (>= 2.10.0) |
imports | splines |
Contributors | Antonio Duarte Silva |
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[](http://www.rdocumentation.org/packages/HiDimDA)