Original from Stefan Kleeberger

HWE_py/Zusammenfassung

@@ -0,0 +1,15 @@
+ R Kernlab package:
+ problem: rvm wasn't working properly
+ solution: changes around line 229, kernlab_edited/R/rvm.R
+ folder: kernlab_edited
+
+ HWE:
+ a python version for performing HWE
+ problem: function retrieved from code-sample seems to be incorrect
+ solution: not yet found, but sctipts with seemingly incorrect function are working
+ folder: HWE_py
+
+ threeWay:
+ Three-way-interaction testing tool.
+ compile via "make" or ./bin/build.sh
+ Helptext is when program is executed without flags (or with --help)

HWE_py/kernlab_edited/DESCRIPTION

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+Package: kernlab
+Version: 0.9-19
+Title: Kernel-based Machine Learning Lab
+Authors@R: c(person("Alexandros", "Karatzoglou", role = c("aut", "cre"),
+                    email = "alexis@ci.tuwien.ac.at"),
+             person("Alex", "Smola", role = "aut"),
+             person("Kurt", "Hornik", role = "aut"))
+Description: Kernel-based machine learning methods for classification,
+        regression, clustering, novelty detection, quantile regression
+        and dimensionality reduction.  Among other methods kernlab
+        includes Support Vector Machines, Spectral Clustering, Kernel
+        PCA, Gaussian Processes and a QP solver.
+Depends: R (>= 2.10), methods
+LazyLoad: Yes
+License: GPL-2
+Packaged: 2013-11-03 09:51:43 UTC; hornik
+Author: Alexandros Karatzoglou [aut, cre],
+  Alex Smola [aut],
+  Kurt Hornik [aut]
+Maintainer: Alexandros Karatzoglou <alexis@ci.tuwien.ac.at>
+NeedsCompilation: yes
+Repository: CRAN
+Date/Publication: 2013-11-03 17:56:08

HWE_py/kernlab_edited/MD5

@@ -0,0 +1,142 @@
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HWE_py/kernlab_edited/NAMESPACE

@@ -0,0 +1,136 @@
+useDynLib("kernlab")
+
+import("methods")
+importFrom("stats", "coef", "fitted", "na.omit", "predict", "terms")
+importFrom("graphics","plot")
+
+export(	
+       ## kernel functions
+       "rbfdot",
+       "laplacedot",
+       "besseldot",
+       "polydot",
+       "tanhdot",
+       "vanilladot",
+       "anovadot",
+       "splinedot",
+       "stringdot",
+       "kernelMatrix",
+       "kernelMult",
+       "kernelPol",
+       "kernelFast",
+       "as.kernelMatrix",
+
+       ## High level functions 
+       "kmmd",
+       "kpca",
+       "kcca",
+       "kha",
+       "specc",
+       "kkmeans",
+       "ksvm",
+       "rvm",
+       "gausspr",
+       "ranking",
+       "csi",
+       "lssvm",
+       "kqr",
+
+       ## Utility functions
+       "ipop",
+       "inchol",
+       "couple",
+       "sigest",
+
+       ## Accessor functions
+
+       ## VM
+       "type",
+       "prior",
+       "alpha",
+       "alphaindex",
+       "kernelf",
+       "kpar",
+       "param",
+       "scaling",
+       "xmatrix",
+       "ymatrix",
+       "lev",
+       "kcall",
+       "error",
+       "cross",
+       "SVindex",
+	"nSV",
+       "RVindex",
+       "prob.model",
+       "b",
+       "obj",
+
+       ## kpca
+       "rotated",
+       "eig",
+       "pcv",
+
+       ## ipop
+       "primal",
+       "dual",
+       "how",
+
+       ## kcca
+       "kcor",
+       "xcoef",
+       "ycoef",
+      ## "xvar",
+      ## "yvar",
+
+       ## specc
+       "size",
+       "centers",
+       "withinss",
+
+       ## rvm
+       "mlike",
+       "nvar",
+
+       ## ranking
+       "convergence",
+       "edgegraph",
+
+       ## onlearn
+       "onlearn",
+       "inlearn",
+       "buffer",
+       "rho",
+
+       ## kfa
+       "kfa",
+
+       ## inc.chol
+       "pivots",
+       "diagresidues",
+       "maxresiduals",
+
+       ## csi
+       "R",
+       "Q",
+       "truegain",
+       "predgain",
+
+       ## kmmd
+       "H0",
+       "AsympH0",
+       "Radbound",
+       "Asymbound",
+       "mmdstats"
+       )
+
+exportMethods("coef", "fitted", "plot", "predict", "show")
+
+exportClasses("ksvm", "kmmd", "rvm", "ipop", "gausspr", "lssvm", "kpca", "kha",
+              "kcca", "kernel", "rbfkernel", "laplacekernel",
+              "besselkernel", "tanhkernel", "polykernel","fourierkernel",
+              "vanillakernel", "anovakernel", "splinekernel",
+              "stringkernel", "specc", "ranking", "inchol", "onlearn",
+              "kfa", "csi","kqr",
+              "kernelMatrix","kfunction")
+