R Graphical Manual

Last data update: 2014.03.03

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R Release (3.2.3)
CranContrib
BioConductor
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Results 1 - 10 of 11 found.
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penaltySVM-internal (Package: penalizedSVM) : Internal penaltySVM objects

Internal penaltySVM objects.

● Data Source: CranContrib
● Keywords: internal
● Alias: .EstNuLong, .EstNuShort, .Random.seed, .calc.mult.inv_Q_mat2, .core, .correctness, .create.covariance.matrix, .extend.to.quad.matrix, .find.inverse, .required, .run.cv, .whatiscorrect
● 0 images

svm.fs (Package: penalizedSVM) : Fits SVM mit variable selection using penalties.

Fits SVM with variable selection (clone selection) using penalties SCAD, L1 norm, Elastic Net (L1 + L2 norms) and ELastic SCAD (SCAD + L1 norm). Additionally tuning parameter search is presented by two approcaches: fixed grid or interval search.

● Data Source: CranContrib
● Keywords: models, multivariate, optimize
● Alias: DrHSVM, scad_L2.svc, svm.fs, svm.fs.default
● 0 images

sim.data (Package: penalizedSVM) : Simulation of microarray data

Simulation of 'n' samples. Each sample has 'sg' genes, only 'nsg' of them are called significant and have influence on class labels. All other '(ng - nsg)' genes are called ballanced. All gene ratios are drawn from a multivariate normal distribution. There is a posibility to create blocks of highly correlated genes.

● Data Source: CranContrib
● Keywords: distribution, multivariate
● Alias: sim.data
● 0 images

scadsvc (Package: penalizedSVM) : Fit SCAD SVM model

SVM with variable selection (clone selection) using SCAD penalty.

● Data Source: CranContrib
● Keywords:
● Alias: scadsvc
● 0 images

sortmat (Package: penalizedSVM) : Sort matrix or data frame

A useful function for ranking. Sort matrix or dataframe 'Mat', by column(s) 'Sort' in decrising or increasing order.

● Data Source: CranContrib
● Keywords:
● Alias: sortmat
● 0 images

print (Package: penalizedSVM) : Print Function for FS SVM

Print Function for FS SVM

● Data Source: CranContrib
● Keywords:
● Alias: print.1norm.svm, print.scad.svm
● 0 images

EPSGO (Package: penalizedSVM) : Fits SVM mit variable selection using penalties.

Fits SVM with feature selection using penalties SCAD and 1 norm.

● Data Source: CranContrib
● Keywords: graphs, iteration, models, multivariate, optimize
● Alias: Direct, EPSGO, ExpImprovement
● 0 images

findgacv.scad (Package: penalizedSVM) : Calculate Generalized Approximate Cross Validation Error Estimation for SCAD SVM model

calculate generalized approximate cross validation error (GACV) estimation for SCAD SVM model

● Data Source: CranContrib
● Keywords: models
● Alias: findgacv.scad
● 0 images

penalizedSVM-package (Package: penalizedSVM) :

Feature Selection SVM using penalty functions. The smoothly clipped absolute deviation (SCAD) and L1-norm penalties are availible up to now. Other functions will be implemented in the near feature.

● Data Source: CranContrib
● Keywords: package
● Alias: penalizedSVM, penalizedSVM-package
● 0 images

lpsvm (Package: penalizedSVM) : Fit L1-norm SVM

SVM mit variable selection (clone selection) using L1-norm penalty. ( a fast Newton algorithm NLPSVM from Fung and Mangasarian )

● Data Source: CranContrib
● Keywords:
● Alias: lpsvm
● 0 images