Author: Ying Nan <nanx0006@gmail.com>, Yanjia Yu <yuxxx748@umn.edu>, Yuhong Yang <yyang@stat.umn.edu>, Yi Yang <yi.yang6@mcgill.ca>

Author: Ying Nan <nanx0006@gmail.com>, Yanjia Yu <yuxxx748@umn.edu>, Yi Yang <yi.yang6@mcgill.ca>, Yuhong Yang <yyang@stat.umn.edu>
Depends: stats, MASS, glmnet, ncvreg, brglm, parallel

Title: Generalized Linear Models Extended
person(given = "Roger", family = "Koenker", role = "aut"),
person(given = "Philipp", family = "Doebler", role = "aut"))
Description: Extended techniques for generalized linear models (GLMs), especially for binary responses,
including parametric links and heteroskedastic latent variables.
Imports: stats, MASS, Formula, lmtest, sandwich

person(given = "Philipp", family = "Doebler", role = "aut",
including parametric links and heteroscedastic latent variables.

Title: A Collection of Graphic Tools for GLM Diagnostics and some
Authors@R: person("Giuseppe", "Reale", role = c("aut", "cre"),
Description: Provides diagnostic graphic tools for GLMs, beta-binomial regression model (estimated by 'VGAM' package), beta regression model (estimated by 'betareg' package) and negative binomial regression model (estimated by 'MASS' package). Since most of functions implemented in 'glmxdiag' already exist in other packages, the aim is to provide the user unique functions that work on almost all regression models previously specified. Details about some of the implemented functions can be found in Brown (1992) <doi:10.2307/2347617>, Dunn and Smyth (1996) <doi:10.2307/1390802>, O'Hara Hines and Carter (1993) <doi:10.2307/2347405>, Wang (1985) <doi:10.2307/1269708>.

Title: Global Gene-Set Analysis for Association Studies.
Description: Implementation of three different Gene set analysis (GSA) algorithms for combining the individual pvalues of a set of genetic variats (SNPs) in a gene level pvalue. The implementation includes the selection of the best inheritance model for each SNP.

Title: Inhomogeneous K- And Pair Correlation Functions Using Global
Authors@R: c(person("Thomas", "Shaw", role=c("aut", "cre"), email="shawtr@umich.edu"),
Description: Second-order summary statistics K- and pair-correlation functions describe
interactions in point pattern data. This package provides computations to estimate those
statistics on inhomogeneous point processes, using the methods of
in T Shaw, J Møller, R Waagepetersen, 2020 <arXiv:2004.00527>.