A Collection of Graphic Tools for GLM Diagnostics and some
Extensions
person("Giuseppe", "Reale", role = c("aut", "cre"),
email = "giuseppe.reale97@gmail.com")
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>.

Global Gene-Set Analysis for Association Studies.
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.

Inhomogeneous K- And Pair Correlation Functions Using Global
Estimators
c(person("Thomas", "Shaw", role=c("aut", "cre"), email="shawtr@umich.edu"),
person("Ege", "Rubak", role="ctb"),
person("Adrian", "Baddeley", role="ctb"),
person("Rolf", "Turner", role="ctb"))
Thomas Shaw [aut, cre],
Ege Rubak [ctb],
Adrian Baddeley [ctb],
Rolf Turner [ctb]
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>.

R (>= 3.5.0), spatstat.random (>= 2.1.0), spatstat.explore (>=
3.0), spatstat.geom (>= 2.3.2)

Objective functions for benchmarking the performance of global
optimization algorithms
This package makes available 50 objective functions for benchmarking the performance of global optimization algorithms based on C functions described in M. Montaz Ali, Charoenchai Khompatraporn and Zelda B. Zabinsky, Journal of Global Optimization, 2005, vol. 31, 4, 635-672.