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auditor (version 0.3.0)

Model Audit - Verification, Validation, and Error Analysis

Description

Provides an easy to use unified interface for creating validation plots for any model. The 'auditor' helps to avoid repetitive work consisting of writing code needed to create residual plots. This visualizations allow to asses and compare the goodness of fit, performance, and similarity of models.

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Version

Install

install.packages('auditor')

Monthly Downloads

926

Version

0.3.0

License

GPL

Maintainer

Alicja Gosiewska

Last Published

August 27th, 2018

Functions in auditor (0.3.0)

Receiver Operating Characteristic (ROC)

Create Model Residuals explainer

plotTwoSidedECDF

Two-sided Cumulative Distribution Function

Model Scores computations

Regression Error Characteristic Curves (REC)

Predicted response vs Observed or Variable Values

plotCooksDistance

Influence of observations plot

Half-Normal plot

scoreHalfNormal

Half-Normal Score

Mean Absolute Error

Regression Receiver Operating Characteristic (RROC)

Plot Residuals vs Observed, Fitted or Variable Values

plotModelCorrelation

Model Correlation Plot

Mean Square Error

plotResidualDensity

Residual Density Plot

plotScaleLocation

Scale location plot

plotResidualBoxplot

Plot Boxplots of Residuals

Area Under ROC Curve (AUC)

Principal Component Analysis of models

plotModelRanking

Model Ranking Plot

Area Over the Curve for RROC Curves

scoreCooksDistance

Score based on Cooks Distance

Durbin-Watson Score

Area Over the Curve for REC Curves

Root Mean Square Error

modelEvaluation

Create Model Evaluation explainer

Autocorrelation Function Plot

modelPerformance

Create Model Performance Explainer

Create modelAudit object

plotAutocorrelation

Autocorrelation Plot

plot.modelAudit

Model diagnostic plots

observationInfluence

Create Observation Influence Explainer

Create Model Fit explainer