tidyr, units, utils, promises, elevatr, whitebox, terra
Packaged: 2022-03-28 21:16:23 UTC; joshualerickson

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

Description: 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.
Depends: R (>= 3.2.3), ergm, ggplot2, magrittr, shiny, shinydashboard
Imports: dplyr, gtools, network, scales, sna, tidyr

Title: Geographically Weighted Elliptical Regression
Author: Yuri A. Araujo, Francisco Jose A. Cysneiros and Audrey H. M. A. Cysneiros
Maintainer: Yuri A. Araujo <yada1@de.ufpe.br>
Description: 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>.
Imports: maptools (>= 0.7-32), Matrix, methods, spData (>= 0.2.6.2),
spdep, spgwr, utils, assertthat, glogis, graphics

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

Title: Controlling the genome-wide type I error rate in association
Author: Benjamin Stich <stich@mpipz.mpg.de>, Bettina Mueller
significance threshold for controlling the type I error rate in

Title: Geographically Weighted Fractal Analysis
Author: Francois Semecurbe, Stephane G. Roux, and Cecile Tannier
Description: 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.
Packaged: 2016-11-16 19:59:43 UTC; Fsemecurbe