https://gnattino.r-universe.devRecent package updates in gnattinoR-universehttps://github.com/gnattino.pnghttps://gnattino.r-universe.devWed, 22 Apr 2026 12:34:12 GMTgiovanni.nattino@marionegri.it (Giovanni Nattino)Includes functions implementing the conditionally optimal matching algorithm, which can be used to generate matched samples in designs with multiple groups. The algorithm is described in Nattino, Song and Lu (2022) <doi:10.1016/j.csda.2021.107364>.https://github.com/r-universe/gnattino/actions/runs/26326848148Wed, 22 Apr 2026 12:34:12 GMTpolymatching1.0.1successhttps://gnattino.r-universe.devhttps://github.com/gnattino/polymatchinggiovanni.nattino@marionegri.it (Giovanni Nattino)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.https://github.com/r-universe/gnattino/actions/runs/26326842346Tue, 24 Jan 2017 07:12:25 GMTgivitiR1.3successhttps://gnattino.r-universe.devhttps://github.com/cran/givitiRgivitiR.RmdgivitiR.htmlgivitiR package: assessing the calibration of binary outcome models with the GiViTI calibration belt2016-07-14 07:21:132016-07-14 07:21:13