Title: An R Package for Quantification of Pinned Microbial Culture
gitter works by first finding the grid of colonies from a preprocessed image
and then locating the bounds of each colony separately.
Imports: jpeg, tiff, logging, PET, ggplot2, EBImage
Packaged: 2015-10-09 08:57:18 UTC; omarwagih

Title: The GiViTI Calibration Test and Belt
Authors@R: c(person("Giovanni", "Nattino", email = "giovanni.nattino@marionegri.it", role = c("cre","aut")),
person("Stefano", "Finazzi", role = "aut"),
person("Guido", "Bertolini", role = "aut"),
person("Carlotta", "Rossi", role = "aut"),
person("Greta", "Carrara", role = "aut"))
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 <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.
Imports: alabama, rootSolve, grDevices, graphics, stats

Title: Generalized Joint Attribute Modeling
Maintainer: James S. Clark <jimclark@duke.edu>
Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling.

Author: James S. Clark, Daniel Taylor-Rodriquez
Imports: Rcpp (>= 0.11.5), MASS, RANN, repmis

Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling.  Full model and computation details are described in Clark et al. (2018) <doi.org/10.1002/ecm.1241>.

Description: Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling.  Full model and computation details are described in Clark et al. (2018) <doi:10.1002/ecm.1241>.