locClass: Collection of Local Classification Methods

Collection of diverse local classification methods such as local versions of linear discriminant analysis, Fisher discriminant analysis and logistic regression.

AuthorJulia Schiffner and Stefanie Hillebrand
Date of publicationNone
MaintainerJulia Schiffner <schiffner@statistik.tu-dortmund.de>
LicenseGPL-2
Version0.1-1
http://www.statistik.tu-dortmund.de

View on R-Forge

Man pages

constant: Constant Classifier

constantModel: Combine Model-based Recursive Partitioning with a Constant...

dalda: Discriminant Adaptive Linear Discriminant Analysis

dalr: Discriminant Adaptive Logistic Regression

damultinom: Discriminant Adaptive Multinomial Log-linear Models

dannet: Discriminant Adaptive Neural Network

daqda: Discriminant Adaptive Quadratic Discriminant Analysis

dasvm: Discriminant Adaptive Support Vector Machine

FLXMCL: Class "FLXMCL"

FLXMCLconstant: Mixtures of Constant Classifiers

FLXMCLlda: Mixtures of Linear Discriminant Analysis Models

FLXMCLmultinom: Mixtures of Multinomial Regression Models

FLXMCLnnet: Mixtures of Neural Networks

FLXMCLqda: Mixtures of Quadratic Discriminant Analysis Models

FLXMCLsvm: Mixtures of Support Vector Machines

FLXPwlda: Creator Function for the Concomitant Variable Model based on...

FLXPwlda-class: Class "FLXPwlda"

kda: Kernel Classification Rules

kmc: K-Means Classification

ldaModel: Combine Model-based Recursive Partitioning with Linear...

multinomModel: Combine Model-based Recursive Partitioning with Multinomial...

myfitted: Extract Fitted Values

mypredict: Predict Values

nnetGradient: Calculate value of objective function and gradient for a...

nnetModel: Combine Model-based Recursive Partitioning with Neural...

oslda: Observation Specific Linear Discriminant Analysis

osmultinom: Observation Specific Multinomial Log-linear Models

osnnet: Observation Specific Neural Networks

osqda: Observation Specific Quadratic Discriminant Analysis

ossvm: Observation Specific Support Vector Machines

predict.constant: Classify Multivariate Observations Based on the Constant...

predict.dalda: Classify Multivariate Observations Based on Discriminant...

predict.dalr: Classify Multivariate Observations Based on Discriminant...

predict.damultinom: Predict New Examples by a Trained Discriminant Adaptive...

predict.dannet: Predict New Examples by a Trained Discriminant Adaptive...

predict.daqda: Classify Multivariate Observations Based on Discriminant...

predict.dasvm: Predict Method for Discriminant Adaptive Support Vector...

predict.kda: Classify Multivariate Observations Based on Kernel Rules

predict.kmc: K-means Classification

predict.oslda: Classify Multivariate Observations Based on Observation...

predict.osmultinom: Predict New Examples Based on Observation Specific...

predict.osnnet: Predict New Examples Based on Observation Specific Neural...

predict.osqda: Classify Multivariate Observations Based on Observation...

predict.ossvm: Predict New Observations with Observation Specific Support...

predict.wlda: Classify Multivariate Observations Based on Weighted Linear...

predict.wqda: Classify Multivariate Observations Based on Weighted...

predict.wsvm: Predict New Examples by a Trained (Weighted) Support Vector...

qdaModel: Combine Model-based Recursive Partitioning with Quadratic...

svmModel: Combine Model-based Recursive Partitioning with Support...

wfs: Generation of Window Functions

wlda: Weighted Linear Discriminant Analysis

wqda: Weighted Quadratic Discriminant Analysis

wsvm: Weighted Support Vector Machines

Files in this package

locClass
locClass/R
locClass/R/dasvm.R locClass/R/Model_svm.R locClass/R/daqda.R locClass/R/dannet.R locClass/R/checkwf.R locClass/R/generatewf.R locClass/R/FLXP.R locClass/R/Model_multinom.R locClass/R/wlda.R locClass/R/Model_qda.R locClass/R/oslda.R locClass/R/kda.R locClass/R/constant.R locClass/R/damultinom.R locClass/R/Model_nnet.R locClass/R/dalda.R locClass/R/ossvm.R locClass/R/Model_lda.R locClass/R/FLXMCL.R locClass/R/FLXMCLlda.R locClass/R/osqda.R locClass/R/Model_constant.R locClass/R/wsvm.R locClass/R/kmc.R locClass/R/FLXMCLconstant.R locClass/R/FLXMCLmultinom.R locClass/R/FLXMCLsvm.R locClass/R/FLXMCLqda.R locClass/R/dalr.R locClass/R/osnnet.R locClass/R/osmultinom.R locClass/R/FLXMCLnnet.R locClass/R/wqda.R
locClass/COPYRIGHT_LIBSVM
locClass/NAMESPACE
locClass/inst
locClass/inst/tests
locClass/inst/tests/test_FLXMCLconstant.R
locClass/inst/tests/test_osnnet.R
locClass/inst/tests/test_dasvm.R
locClass/inst/tests/test_wqda.R
locClass/inst/tests/test_damultinom.R
locClass/inst/tests/test_mobMultinomModel.R
locClass/inst/tests/test_constant.R
locClass/inst/tests/test_wlda.r
locClass/inst/tests/test_FLXMCLnnet.R
locClass/inst/tests/test_FLXMCLlda.R
locClass/inst/tests/test_mobLdaModel.R
locClass/inst/tests/test_dannet.R
locClass/inst/tests/test_daqda.R
locClass/inst/tests/test_osmultinom.R
locClass/inst/tests/test_mobSvmModel.R
locClass/inst/tests/test_wsvm.R
locClass/inst/tests/test_dalda.r
locClass/inst/tests/test_FLXMCLqda.R
locClass/inst/tests/test_ossvm.R
locClass/inst/tests/test_kda.R
locClass/inst/tests/test_FLXMCLmultinom.R
locClass/inst/tests/test_osqda.R
locClass/inst/tests/test_mobNnetModel.R
locClass/inst/tests/test_mobQdaModel.R
locClass/inst/tests/test_FLXMCLsvm.R
locClass/inst/tests/test_dalr.r
locClass/inst/tests/test_oslda.R
locClass/inst/tests/test_mobConstantModel.R
locClass/DESCRIPTION
locClass/man
locClass/man/predict.wsvm.Rd locClass/man/oslda.Rd locClass/man/FLXMCLconstant.Rd locClass/man/osmultinom.Rd locClass/man/mypredict.Rd locClass/man/nnetGradient.Rd locClass/man/dalda.Rd locClass/man/myfitted.Rd locClass/man/predict.kmc.Rd locClass/man/predict.dannet.Rd locClass/man/FLXMCLlda.Rd locClass/man/constantModel.Rd locClass/man/FLXMCL.Rd locClass/man/ldaModel.Rd locClass/man/wlda.Rd locClass/man/predict.dalr.Rd locClass/man/multinomModel.Rd locClass/man/kmc.Rd locClass/man/predict.oslda.Rd locClass/man/predict.daqda.Rd locClass/man/wsvm.Rd locClass/man/svmModel.Rd locClass/man/predict.dasvm.Rd locClass/man/wqda.Rd locClass/man/FLXPwlda-class.Rd locClass/man/qdaModel.Rd locClass/man/predict.dalda.Rd locClass/man/dasvm.Rd locClass/man/wfs.Rd locClass/man/osnnet.Rd locClass/man/predict.wqda.Rd locClass/man/FLXMCLnnet.Rd locClass/man/constant.Rd locClass/man/predict.osnnet.Rd locClass/man/FLXMCLsvm.Rd locClass/man/kda.Rd locClass/man/osqda.Rd locClass/man/dannet.Rd locClass/man/FLXMCLmultinom.Rd locClass/man/dalr.Rd locClass/man/predict.wlda.Rd locClass/man/predict.damultinom.Rd locClass/man/daqda.Rd locClass/man/FLXPwlda.Rd locClass/man/nnetModel.Rd locClass/man/predict.constant.Rd locClass/man/predict.kda.Rd locClass/man/damultinom.Rd locClass/man/FLXMCLqda.Rd locClass/man/predict.osqda.Rd locClass/man/predict.osmultinom.Rd locClass/man/ossvm.Rd locClass/man/predict.ossvm.Rd
locClass/src
locClass/src/sparse.h
locClass/src/predkda.c
locClass/src/svm.cpp
locClass/src/wf.c
locClass/src/sparse.c
locClass/src/Makevars
locClass/src/mynnet.h
locClass/src/wf.h
locClass/src/predossvm.c
locClass/src/predosqda.c
locClass/src/predosnnet.c
locClass/src/predoslda.c
locClass/src/svm.h
locClass/src/wsvm.c

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.