Added build R package version 0.0.1
Have rewritten the code with the foreach package in R. The version 0.0.2 will reflect these changes.
Added the *.tar.gz file to the .Rbuildignore list.
Updated TODO for version 0.0.2. Branching...
Added version 0.0.2 of regdiscrim.
Fixed an issue within rda_cv() that caused errors when the factors from cv_predicted did not include all of the factors from the original data set. Also, updated rda_betareg() to use replace training error rates of 0 and 1 to 0.001 and 0.999, respectively. Finally, added the option (which is now default) to include the training error rates into model-selection consideration with the predicted error rates in rda_loess() and rda_betareg().
Updated the 0.0.2 tar.gz file.
Updated the TODO list.
Added a much needed README file. Needs some TLC though.
Added LDA with Moore-Penrose pseudo-inverse.
Added Anderson's Linear Discriminant Function the helper functions.
Added MDEB classifier from Srivastava and Kubokawa (2007).
Added MLDA classifier. Updated DESCRIPTION file to use the R package 'corpcor', which is needed by MLDA.
Added MLDA classifier. Updated DESCRIPTION file to use the R package 'corpcor', which is needed by MLDA.
Added NLDA classifier. Also, added note about NLDA classifier to the README file.
Updated the TODO list. Also, added 'symmetric = TRUE' to the eigen() call in the NLDA classifier to slightly improve the speed of eigen().
Updated NLDA one more time. I was never inverting the matrix. This may be part of the reason why NLDA was not performing well when p > N.
Yet another updated to NLDA. There was no need to invert the updated covariance matrix estimator because we already had its spectral decomposition. Just needed to multiply the eigenvectors matrix with the inverse of the eigenvalues matrix.
Updated the TODO list.
Added the MDMEB classifier.