Title: adapt -- multidimensional numerical integration
Package: adapt
Version: 1.0-4
Author: FORTRAN by Alan Genz, S by Mike Meyer, R by Thomas Lumley and Martin Maechler
Description: Adaptive Quadrature in up to 20 dimensions
Depends:
License: Unclear (Fortran) -- code in Statlib's ./S/adapt
Maintainer: Thomas Lumley <tlumley@u.washington.edu>
Packaged: Fri Apr 20 11:38:07 2007; thomas

Title: adapt -- multidimensional numerical integration
Package: adapt
Version: 1.0
Author: FORTRAN by Alan Genz, S by Mike Meyer, R by Thomas Lumley and Martin Maechler
Description: Adaptive Quadrature in up to 20 dimensions
Depends:
License: Unclear (Fortran) -- code in Statlib's ./S/adapt
Maintainer: Thomas Lumley <tlumley@u.washington.edu>

Title: Adaptive Approaches for Signal Detection in Pharmacovigilance
Authors@R: c(person("Emeline", "Courtois", email = "emeline.courtois@inserm.fr", role = c("cre")),
person("Ismaïl", "Ahmed", email = "ismail.ahmed@inserm.fr", role = c("aut")),
person("Hervé", "Perdry", email = "herve.perdry@universite-paris-saclay.fr", role = c("ctb")))
Imports: speedglm, xgboost, doParallel, foreach
Description: A collection of several pharmacovigilance signal detection methods based on adaptive lasso. Additional lasso-based and propensity score-based signal detection approaches are also supplied.

Description: A collection of several pharmacovigilance signal detection methods based on adaptive lasso. Additional lasso-based and propensity score-based signal detection approaches are also supplied. See Courtois et al <doi:10.1186/s12874-021-01450-3>.

Title: Adaptive Mixture Discriminant Analysis
Description: The adaptive mixture discriminant analysis (AMDA) allows to adapt a model-based classifier to the situation where a class represented in the test set may have not been encountered earlier in the learning phase.

Title: Bayesian Adaptive Designs for Diagnostic Trials
person(given = "Becton, Dickinson and Company",
Description: Simulate clinical trials for diagnostic test devices and evaluate
the operating characteristics under an adaptive design with futility
assessment determined via the posterior predictive probabilities.
Imports: doParallel, extraDistr, foreach, parallel, pbmcapply, stats
Suggests: rmarkdown, knitr, testthat (>= 3.0.0), VGAM, covr
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>