• Add function ‘Gaussian Process Regression’ for a nonparametric, nonlinear Bayesian approach to regression.
  • Expand function ‘Random Forest Prediction’ to ‘Model Prediction’ for prediction of model building methods Gaussian Process Regression, Random Forest and Decision Tree.
  • Add function ‘Autocorrelation’ for (partial) auto- and cross-correlation.
  • Add function ‘Time Series Feature Extraction’ for feature detection in time series data.
  • Add function ‘Correlation Analysis’ for correlation analysis of variables.
  • Update ‘Missing Value Handling’ with linear and cubic interpolation.
  • Update ‘Decision Tree’ with graphic size options.
  • Fixed various bugs.
  • Support R up to version 4.1.3.
  • Add function ‘Decision Tree’ for classification and regression.
  • Add function ‘Logistic Regression’ for logistic model fitting.
  • Add function ‘Survival Analysis’ for Weibull and Lognormal distribution fitting.
  • Add function ‘Missing Values Handling’ for missing value detection and imputation.
  • Rename ‘Fit Function via non-linear regression’ to ‘Fit Function’.
  • Update ‘Fit Function’ with new functions and modifications.
  • Add new graph and computed column interface to Cornerstone.
  • Re-implement “Mosaic Plot” using ggmosaic package.
  • Fixed various bugs.
  • Support R up to version 4.0.5.
  • Fixed various bugs
  • Update maintainer
  • Add function ‘showVersions’ to display R and CornerstoneR versions.
  • Fix ‘reshapeWide’ aggregation functions.
  • Add vignettes for all functions.
  • Add function ‘matchNearestNeighbor’.
  • Add function ‘redirectDataset’.
  • Add function ‘reshapeTranspose’.
  • Update ‘mosaicPlot’ to multi response and return of long contingency table.
  • Update ‘fitFunction’ to minpack.lm with its Levenberg-Marquardt algorithm.
  • Update ‘fitFunction’ to multiple groups.
  • Update ‘reshapeLong’ UI for more intuitive behavior (switch predictors and groups).
  • Update ‘reshapeWide’ with aggregation functions.
  • Fixed various bugs
  • Cleanup DESCRIPTION
  • Random Forest: Add importance mode and respect unordered factors to script variables.
  • Random Forest: Export split rule to statistics.
  • Random Forest: Add function ‘randomForestPredict’ to predict new data via a saved forest.
  • Fit Function via nls: User defined functions are now possible via script variables.
  • ‘FitFunction’, ‘mosaicPlot’, ‘ReshapeLongWide’: Add three dots to function call.
  • Fix tests.
  • Initial CRAN release.