Methods for fitting various extreme value distributions with parameters of
generalised additive model (GAM) form are provided. For details of distributions
see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GAMs see Wood, S.N. (2017)
<doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. &
Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.

Methods for fitting various extreme value distributions with parameters of
generalised additive model (GAM) form are provided. For details of distributions
see Coles, S.G. (2001) <doi:10.1007/978-1-4471-3675-0>, GAMs see Wood, S.N. (2017)
<doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N., Pya, N. &
Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>. Details of how evgam works
and various examples are given in Youngman, B.D. (2022) <doi:10.18637/jss.v103.i03>.

Evidential Analysis of Genetic Association Data
R (>= 3.2.5), ProfileLikelihood, sandwich, foreach, doParallel
Dr. Lisa J Strug <lisa.strug@utoronto.ca>;
Dr. Zeynep Baskurt <zeynep.baskurt@sickkids.ca>;
Bowei Xiao <bowei.xiao@sickkids.ca>;
Ted Chiang <theodorechiang@gmail.com>
Evidential regression analysis for dichotomous and quantitative outcome data. The following references described the methods in this package:
Strug, L. J., Hodge, S. E., Chiang, T., Pal, D. K., Corey, P. N., & Rohde, C. (2010) <doi:10.1038/ejhg.2010.47>.
Strug, L. J., & Hodge, S. E. (2006) <doi:10.1159/000094709>.
Royall, R. (1997) <ISBN:0-412-04411-0>.

Dr. Lisa J Strug <lisa.strug@utoronto.ca>;
Dr. Zeynep Baskurt <zeynep.baskurt@sickkids.ca>;
Bowei Xiao <bowei.xiao91@gmail.com>;
Ted Chiang <theodorechiang@gmail.com>

Analysis of Scientific Evidence Using Bayesian and Likelihood
Methods
rstan, rstanarm, loo, lattice, stats, utils, graphics,
grDevices
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.