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  • better description of cross-validation settings in help text (parameter cv)
  • added column R2 (coefficient of determination) to PLS summary as it is not always identical to Y cumexpvar
  • better use of cex parameter for group plots (can be specified differently for each group)
  • if cex is specified it will be also applied for legend items
Assets 3

@svkucheryavski svkucheryavski released this May 24, 2019 · 11 commits to master since this release

  • fixed a bug #59 leading to wrong results when using parameter max.cov in prep.autoscale()
Assets 3

@svkucheryavski svkucheryavski released this Jan 3, 2019 · 13 commits to master since this release

  • Fixed a bug in multiclass PLS-DA leading to wrong classification results when class names in reference variable (factor) were not in alphabetical order
Assets 3

@svkucheryavski svkucheryavski released this Nov 9, 2018 · 22 commits to master since this release

  • improvements to ipls() method plus fixed a bug preventing breaking the selection loop (#56)
  • fixed a bug in selectCompNum() related to use of Wold criterion (#57)
  • fixed a bug with using of max.cov parameter in prep.autoscale() (#58)
  • default max.cov value in prep.autoscale() is set to 0 (to avoid scaling only of constant variables)
  • code refactoring and small improvements
  • added tests for prep.autoscale()
Assets 3

@svkucheryavski svkucheryavski released this Jul 6, 2018 · 31 commits to master since this release

  • all plot functions have new opacity parameter for semi-transparent colors
  • several improvements to PLS-DA method for one-class discrimination
  • fixed a bug with wrong estimation of maximum number of components for PCA/SIMCA with cross-validation
  • added chapter on PLS-DA to the tutorial (including last improvements)
Assets 3

@svkucheryavski svkucheryavski released this Apr 7, 2018 · 40 commits to master since this release

  • added randomized PCA algorithm (efficient for datasets with large number of rows)
  • added option to inherit and show critical limits on residuals plot for PCA/SIMCA results
  • added support for data driven approach to PCA/SIMCA (DD-SIMCA)
  • added calculation of class belongings probability for SIMCA results
  • added plotExtreme() method for SIMCA models
  • added setResLimits() method for PCA/SIMCA models
  • added plotProbabilities() method for SIMCA results
  • added getConfusionMatrix() method for classification results
  • added option to show prediction statistics using plotPrediction() for PLS results
  • added option to use equal axes limits in plotPrediction() for PLS results
  • the tutorial has been amended and extended correspondingly
Assets 3

@svkucheryavski svkucheryavski released this Aug 3, 2017 · 101 commits to master since this release

  • small improvements to calculation of statistics for regression coefficients
  • pls.getRegCoeffs() now also returns standard error and confidence intervals calculated for unstandardized variables
  • new method summary() for object with regression coefficients (regcoeffs)
  • fixed a bug with double labels on regression coefficients plot with confidence intervals
  • fixed a bug in some PLS plots where labels for cross-validated results forced to be numbers
  • when using mdaplot for data frame with one or more factor columns, the factors are now transofrmed to dummy variables (before it led to an error)
  • Bookdown documentation has been updates accordingly
Assets 3

@svkucheryavski svkucheryavski released this Jul 26, 2017 · 118 commits to master since this release

  • fixed a bug in mdaplot when using a factor with more than 8 levels for color grouping led to an error
  • fixed a bug in pca led to an error when using NIPALS (bug in calculation of eigenvalues)
  • bars on a bar plot now can be color grouped
Assets 3

@svkucheryavski svkucheryavski released this Jan 30, 2017 · 124 commits to master since this release

  • parameters lab.cex and lab.col now are also applied to colorbar labels
Assets 3

@svkucheryavski svkucheryavski released this Oct 30, 2016 · 124 commits to master since this release

  • fixed a bug in PCA when explained variance was calculated incorrectly for data with excluded rows
  • fixed several issues with SIMCA (cross-validation) and SIMCAM (Cooman's plot)
  • added a chapter about SIMCA to the tutorial
Assets 3
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