Authors@R: c(person("Stephanie", "Wu", email = "swu18@uw.edu", role = "aut"), person("Michal", "Juraska", email = "mjuraska@fredhutch.org", role = c("aut", "cre")), person("Peter", "Gilbert", email = "pgilbert@scharp.org", role = "aut"), person("Yunda", "Huang", email = "yunda@scharp.org", role = "aut"))

Title: Complete Stochastic Modelling Solution
Description: A single framework, unifying, extending, and improving a general-purpose modelling strategy, based on the assumption that any process can emerge by transforming a specific 'parent' Gaussian process Papalexiou (2018) <doi:10.1016/j.advwatres.2018.02.013>.
Depends: R (>= 3.4.0), ggplot2, pracma, methods, moments, reshape2

Depends: R (>= 3.6.0), ggplot2, pracma, nloptr, data.table, methods,

Depends: R (>= 3.5.0), ggplot2, nloptr, data.table, methods, stats

Depends: R (>= 3.5.0), ggplot2, data.table
Imports: utils, methods, stats, grDevices, nloptr, MBA, Matrix, mAr,
matrixcalc, mvtnorm, plotly, cowplot, directlabels, animation,

Description: Makes univariate, multivariate, or random fields simulations precise and simple. Just select the desired time series or random fields’ properties and it will do the rest. CoSMoS is based on the framework described in Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for random fields in Papalexiou and Serinaldi (2020, <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al. (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation of storms (or even cyclone-mimicking fields).
matrixcalc, mvtnorm, cowplot, directlabels, animation,

Title: Cosegregation Analysis and Pedigree Simulation
Author: John Michael O. Ranola and Brian H. Shirts
Maintainer: John Michael O. Ranola <ranolaj@uw.edu>
Description: Tools for generating and analyzing pedigrees.  Specifically, this has functions that will generate realistic pedigrees for the USA and China based on historical birth rates and family sizes.  It also has functions for analyzing these pedigrees when they include disease information including one based on counting meioses and another based on likelihood ratios.