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Releases: svkucheryavski/mdatools

v. 0.7.0

26 Nov 13:33
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  • interval PLS variable selection (iPLS) is implemented
  • normalization was added to preprocessing methods (prep.norm)
  • method getRegcoeffs was added to PLS model
  • automatic selection of optimal components in PLS (Wold's criterion and first local min)
  • parameter cgroup for plots now can work with factors correctly (including ones with text levels)
  • all documentation was converted to roxygen2 format
  • NAMESPACE file is generated by roxygen2
  • fixed several small bugs and typos

v. 0.6.2

22 Apr 08:11
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  • Q2 residuals renamed to Q (Squared residual distance)
  • All plots have parameters lab.col and lab.cex for changing color and font size for data point labels

mdatools v. 0.6.1

22 Jan 11:31
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  • fixed a bug led to incorrect calculation of specificity
  • jack-knife confidence intervals now also calculated for PLS-DA models
  • confidence intervals for regression coefficients are shown by default if calculated

mdatools v. 0.6.0

15 Jan 21:18
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  • randomization test for PLS has been added, see ?randtest
  • systematic and repeated random cross-validation are available, see ?crossval
  • fixed bug with labels on bar plot with confidence intervals
  • fixed bug in PLS when using maximum number of components lead to NA values in weights

mdatools v. 0.5.3

26 Apr 18:38
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  • small bug fixes
  • improvements to documentation

mdatools v. 0.5.2

14 Apr 20:25
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  • fixed bug for computing classification performance for numeric class names
  • improvements to SIMCA implementation

mdatools v. 0.5.1

13 Apr 20:51
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  • Help information has been refactored using roxygen2
  • Added extra preprocessing methods (MSC)
  • Added VIP scores calculation and plot for PLS and PLS-DA models
  • Added Selectivity ratio calculation and plot for PLS and PLS-DA models
  • Added calculation of confidence intervals for PLS regression coefficient using jack-knife
  • Bug fixes and small improvements
  • CRAN ready release

mdatools v. 0.4.0

13 Dec 11:35
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  • New classres class for representation and visualisation of classification results
  • in PCA model, limits for T2 and Q2 now are calculated for all available components
  • in PCA results, limits for T2 and Q2 calculated for a model are kept and shown on residuals plot
  • added parameters xticklabels and yticklabels to mdaplot and mdaplotg functions
  • New simca and simcares classes for one-class SIMCA model and results
  • New simcam and simcamres classes for multiclass SIMCA model and results
  • New plsdaand plsdaresclasses for PLS-DA model and results
  • bug fixes and improvements

mdatools v. 0.3.2

27 Sep 10:40
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  • Enhancements in group bar plot
  • Fixed bugs with wrong labels on a bar plot with negative values

mdatools v. 0.3.1

27 Sep 10:38
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  • Small bug fixes and changes to README.md.