Package: givitiR 1.3

Giovanni Nattino

givitiR: The GiViTI Calibration Test and Belt

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 <http://www.giviti.marionegri.it/>) 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.

Authors:Giovanni Nattino [cre, aut], Stefano Finazzi [aut], Guido Bertolini [aut], Carlotta Rossi [aut], Greta Carrara [aut]

givitiR_1.3.tar.gz
givitiR_1.3.tar.gz(r-4.5-noble)givitiR_1.3.tar.gz(r-4.4-noble)
givitiR_1.3.tgz(r-4.4-emscripten)givitiR_1.3.tgz(r-4.3-emscripten)
givitiR.pdf |givitiR.html
givitiR/json (API)

# Install 'givitiR' in R:
install.packages('givitiR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • icuData - Information of SAPS II score and outcome of 1,000 ICU patients.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.32 score 21 scripts 253 downloads 12 mentions 13 exports 3 dependencies

Last updated 8 years agofrom:e0f4851136. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-linuxOKOct 27 2024

Exports:calibrationBeltIntersectionscalibrationBeltPointsgivitiCalibrationBeltgivitiCalibrationBeltTablegivitiCalibrationTestgivitiCalibrationTestCompgivitiCheckArgsgivitiCheckDatagivitiStatCdflogisticlogitplot.givitiCalibrationBeltpolynomialLogRegrFw

Dependencies:alabamanumDerivrootSolve

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

Rendered fromgivitiR.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2016-07-14
Started: 2016-07-14