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.
CornerstoneR 3.0.0
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.
CornerstoneR 2.0.22020-08-28
Fixed various bugs
Update maintainer
CornerstoneR 2.0.12020-06-02
Add function ‘showVersions’ to display R and CornerstoneR versions.
Fix ‘reshapeWide’ aggregation functions.
CornerstoneR 2.0.02020-05-17
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
CornerstoneR 1.1.12019-02-12
Cleanup DESCRIPTION
CornerstoneR 1.1.02019-02-12
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.