A Shiny App to Aid Interpretation of Geometrically-Weighted
Degree Estimates in Exponential Random Graph Models
person("Michael", "Levy", email = "malevy@ucdavis.edu", role = c("aut", "cre"))
This is a Shiny application intended to provide better understanding of how geometrically-weighted degree terms function in exponential random graph models of networks.
R (>= 3.2.3), ergm, ggplot2, shiny, shinydashboard
dplyr, gtools, magrittr, network, scales, sna, tidyr

This is a Shiny application intended to provide better understanding of how geometrically-weighted degree terms function in exponential random graph models of networks. It contains just one user function, gwdegree(), which launches the Shiny application.
R (>= 3.2.3), ergm, ggplot2, magrittr, shiny, shinydashboard
dplyr, gtools, network, scales, sna, tidyr

Yuri A. Araujo, Francisco Jose A. Cysneiros and Audrey H. M. A. Cysneiros
Computes a elliptical regression model or a geographically weighted regression model with elliptical errors using Fisher's score algorithm. Provides diagnostic measures, residuals and analysis of variance. Cysneiros, F. J. A., Paula, G. A., and Galea, M. (2007) <doi:10.1016/j.spl.2007.01.012>.
maptools (>= 0.7-32), Matrix, methods, spData (>= 0.2.6.2),
spdep, spgwr, utils, assertthat, glogis, graphics

maptools (>= 0.7-32), stats, Matrix, methods, spData (>=
0.2.6.2), spdep, GWmodel, spgwr, utils, assertthat, glogis,
graphics

Controlling the genome-wide type I error rate in association
mapping experiments
Benjamin Stich <stich@mpipz.mpg.de>, Bettina Mueller
<b.mueller@uni-hohenheim.de>, Hans-Peter Piepho
<piepho@uni-hohenheim.de>
This package provides functions to calculate the
significance threshold for controlling the type I error rate in
mixed-model association mapping analyses.

Francois Semecurbe, Stephane G. Roux, and Cecile Tannier
Performs Geographically Weighted Fractal Analysis (GWFA) to calculate the local fractal dimension of a set of points. GWFA mixes the Sandbox multifractal algorithm and the Geographically Weighted Regression. Unlike fractal box-counting algorithm, the sandbox algorithm avoids border effects because the boxes are adjusted on the set of points. The Geographically Weighted approach consists in applying a kernel that describes the way the neighbourhood of each estimated point is taken into account to estimate its fractal dimension. GWFA can be used to discriminate built patterns of a city, a region, or a whole country.