auditor CRAN release v. 1.3.0

• bugfix: score_auc()
• add spellcheck
• fix spelling
• markdown added to suggests

auditor CRAN release v. 1.3.0

• new default color palete DALEX::colors_discrete_drwhy
• depend on R v3.5 to comply with DALEX
• Allow for some deprecated names in plot() function, to make it compatible with the paper auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics in The R Journal,
• add arrow_size to plot_pca and increase the default width value to 2
• add show_rugs to plot_residual_density which allows to hide the rugs layer
• add score_auprc which calculates the AUPRC measure
• add plot_prc which plots the Precision-Recall Curve
• use stringsAsFactors=TRUE when creating data.frame in model_*() functions
• add coord_fixed to plot_coord_fixed
• add predict_funcion and residual_function to audit function

auditor CRAN release v. 1.2.0

• Change score parameter to type in score() function
• Fix a bug in calculating Cook's distances
• Fix a bug in plotting Lift Charts

auditor CRAN release v. 1.1.0

• Szymon Maksymiuk is now contributor
• New score functions: score_acc, score_f1, score_precision, score_recall, score_specificity,
  score_one_minus_acc, score_one_minus_auc, score_one_minus_f1, score_one_minus_precision,
  score_one_minus_specificity, score_one_minus_recall

auditor CRAN release v. 1.0.0

change plot_res_dens subtitles

v. 0.3.0

auditor 0.3.0

• New five vignettes with examples.
• Second pipeline with new computational functions: modelResiduals(), modelEvaluation(), modelFit(), modelPerformance(), observationInfluence().
• New plot: plotResidualBoxplot()

v. 0.2.1 as on CRAN

• In the source code, function isFALSE() is replaced by == FALSE to make package compatible with R versions older than 3.5.

v. 0.2.0 as on CRAN

auditor 0.2.0 as on CRAN

v 0.1.2

In this version, new features have been added.

• two sided ECDF plot
• residuals density plot
• pairs plot for residuals and fitted values

v 0.1.1

In this version new features have been added.

• ROC curves and their extensions for regression
• LIFT and Cumulative Gains curves