Description: Methods for fitting various extreme value distributions with parameters of
generalised additive model (GAM) form are provided. For details of distributions
<doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. &

and various examples are given in Youngman, B.D. (2022) <doi:10.18637/jss.v103.i03>.

Title: Evidential Analysis of Genetic Association Data
Depends: R (>= 3.2.5), ProfileLikelihood, sandwich, foreach, doParallel
Author: Dr. Lisa J Strug <lisa.strug@utoronto.ca>;
Description: Evidential regression analysis for dichotomous and quantitative outcome data. The following references described the methods in this package:

Title: Analysis of Scientific Evidence Using Bayesian and Likelihood
Maintainer: Robert van Hulst <rvhulst@ubishops.ca>
Depends: rstan, rstanarm, loo, lattice, stats, utils, graphics,
Description: Bayesian (and some likelihoodist) functions as alternatives to hypothesis-testing functions in R base using a user interface patterned after those of R's hypothesis testing functions. See McElreath (2016, ISBN: 978-1-4822-5344-3), Gelman and Hill (2007, ISBN: 0-521-68689-X) (new edition in preparation) and Albert (2009, ISBN: 978-0-387-71384-7) for good introductions to Bayesian analysis and Pawitan (2002, ISBN: 0-19-850765-8) for the Likelihood approach.  The functions in the package also make extensive use of graphical displays for data exploration and model comparison.

Depends: rstan, rstanarm, lattice, stats, utils, graphics, grDevices

Title: Reporting Tools for Sensitivity Analysis of Evidence Factors in
Description: Integrated Sensitivity Analysis of Evidence Factors in Observational Studies.

Description: Provides tools for integrated sensitivity analysis of evidence factors in observational
studies. When an observational study allows for multiple independent or nearly
independent inferences which, if vulnerable, are vulnerable to different biases, we have
multiple evidence factors.  This package provides methods that respect type I error rate control.
Examples are provided of integrated evidence factors analysis in a longitudinal study with
continuous outcome and in a case-control study.
Karmakar, B., French, B., and Small, D. S. (2019)<DOI:10.1093/biomet/asz003>.
Packaged: 2020-02-17 20:02:16 UTC; bkarmakar