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givitiR (version 1.3)

The GiViTI Calibration Test and Belt

Description

Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano per la Valutazione degli interventi in Terapia Intensiva, Italian Group for the Evaluation of the Interventions in Intensive Care Units - see ) approach. The approach consists in a graphical tool, namely the GiViTI calibration belt, and in the associated statistical test. These tools can be used both to evaluate the internal calibration (i.e. the goodness of fit) and to assess the validity of an externally developed model.

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Version

Install

install.packages('givitiR')

Monthly Downloads

189

Version

1.3

License

GPL-3

Maintainer

Giovanni Nattino

Last Published

January 24th, 2017

Functions in givitiR (1.3)

givitiCheckData

Check of data
givitiCalibrationBelt

Calibration Belt
calibrationBeltPoints

Calibration Belt Confidence Region
givitiCalibrationTest

Calibration Test
givitiCalibrationTestComp

Computation of the Calibration Test
plot.givitiCalibrationBelt

Calibration Belt Plot
polynomialLogRegrFw

Forward Selection in Polynomial Logistic Regression
logit

Logit and logistic functions
icuData

Information of SAPS II score and outcome of 1,000 ICU patients.
givitiCalibrationBeltTable

Table of the Calibration Belt Significant Deviations
givitiCheckArgs

Check of the argument's values
givitiR

givitiR: assessing the calibration of binary outcome models with the GiViTI calibration belt.
givitiStatCdf

CDF of the Calibration Statistic Under the Null Hypothesis
calibrationBeltIntersections

Calibration Belt Significant Deviations