Project details for NaN toolbox

Logo NaN toolbox 2.3.0

by schloegl - August 27, 2010, 15:49:59 CET [ Project Homepage BibTeX Download ]

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The NaN-toolbox provides a number of statistics functions and machine learning methods for the use with Octave and Matlab. The functions can handle data with missing values encoded as NaNs, weighting of data samples, and multi-class classification (using a one-versus-rest scheme). There is a common interface to a number of different classification methods (including FDA, LDA, Naive Bayes, QDA, RDA, sparse classifiers, interfaces to some SVMs, regression/PLS, Wiener-Hopf).

Changes to previous version:

xptopen.mex: [HTML_REMOVED] reads and writes SAS Transport format (*.xpt) ttest and ttest2: [HTML_REMOVED] paired and unpaired t-test for data with missing values (useful for users of Octave, and for Matlab users without statistics toolbox)

  • train_sc: bug fix when labels are single column {-1,1} format
  • test_sc: improved docu for R.output

For more details see:

BibTeX Entry: Download
Supported Operating Systems: Agnostic
Data Formats: Matlab, Octave, Csv, Dlm, Sasxpt, Stata
Tags: Classification, Multi Class, Machine Learning, Missing Data, Statistics, Weighting
Archive: download here


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