One and two locus GWAS of binary phenotype with
case-control-population design
Tests of association between SNPs or pairs of SNPs and binary phenotypes, in case-control / case-population / case-control-population studies.

Retrieve Historical and Near Realtime Data from CDEC
person("Emanuel", "Rodriguez", email = "erodriguez@flowwest.com", role = c("aut", "cre"))
CDEC maintains a set of web services at <http://cdec.water.ca.gov/queryTools.html>.
In order to better interact and analyze the data this R packages allows
users to quickly and easily retrieve data.

testthat, leaflet, knitr, rmarkdown, ggplot2

Retrieve Data from the California Data Exchange Center
c(person("Emanuel", "Rodriguez", email = "erodriguez@flowwest.com", role = c("aut", "cre")),
person("Erin", "Cain", email = "ecain@flowwest.com", role = "aut"))
The California Data Exchange Center maintains a set of web services
at <http://cdec.water.ca.gov/queryTools.html>.
In order to better interact and analyze the data this R packages allows
users to quickly and easily retrieve data.
Emanuel Rodriguez [aut, cre],
Erin Cain [aut]

Evaluate Differentially Private Algorithms for Publishing
Cumulative Distribution Functions
Daniel Muise [aut,cre],
Kobbi Nissim [aut],
Georgios Kellaris [aut]
Designed by and for the community of differential privacy algorithm developers. It can be used to empirically evaluate and visualize Cumulative Distribution Functions incorporating noise that satisfies differential privacy, with numerous options made to streamline collection of utility measurements across variations of key parameters, such as epsilon, domain size, sample size, data shape, etc. Developed by researchers at Harvard PSI.

Mathieu Vrac <mathieu.vrac@lsce.ipsl.fr> and Paul-Antoine
Michelangeli <pam@climpact.com>
This package proposes a statistical downscaling method for
cumulative distribution functions (CDF), as well as the
computation of the Cram\`er-von Mises statistics U, and the
Kolmogorov-Smirnov statistics KS.

Downscaling and Bias Correction via Non-Parametric CDF-Transform
Mathieu Vrac <mathieu.vrac@lsce.ipsl.fr> and Paul-Antoine Michelangeli <pam@climpact.com>
Statistical downscaling and bias correction (model output statistics) method based on cumulative distribution functions (CDF) transformation. See Michelangeli, Vrac, Loukos (2009) Probabilistic downscaling approaches: Application to wind cumulative distribution functions. Geophysical Research Letters, 36, L11708, <doi:10.1029/2009GL038401>. ; and Vrac, Drobinski, Merlo, Herrmann, Lavaysse, Li, Somot (2012) Dynamical and statistical downscaling of the French Mediterranean climate: uncertainty assessment. Nat. Hazards Earth Syst. Sci., 12, 2769-2784, www.nat-hazards-earth-syst-sci.net/12/2769/2012/, <doi:10.5194/nhess-12-2769-2012>.