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givitiR
View on CRAN: Click
here
Download and install givitiR package within the R console
Install from CRAN:
install.packages("givitiR")
Install from Github:
library("remotes")
install_github("cran/givitiR") Install by package version:
library("remotes")
install_version("givitiR", "1.3") Attach the package and use:
library("givitiR")
Maintained by
Giovanni Nattino
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-14
Latest Update: 2017-01-24
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.
How to cite:
Giovanni Nattino (2016). givitiR: The GiViTI Calibration Test and Belt. R package version 1.3, https://cran.r-project.org/web/packages/givitiR. Accessed 10 Jun. 2026.
Previous versions and publish date:
1.2 (2016-07-14 07:21)
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imports, suggests or enhances
Complete documentation for givitiR
Functions, R codes and Examples using
the givitiR R package
Some associated functions: calibrationBeltIntersections . calibrationBeltPoints . givitiCalibrationBelt . givitiCalibrationBeltTable . givitiCalibrationTest . givitiCalibrationTestComp . givitiCheckArgs . givitiCheckData . givitiR . givitiStatCdf . icuData . logit . plot.givitiCalibrationBelt . polynomialLogRegrFw .
Some associated R codes: data.R . givitiCalibrationBasic.R . givitiCalibrationBeltUtilities.R . givitiCalibrationMain.R . givitiR.R . Full givitiR package functions and examples
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