Authors@R: person("Kisung", "You", role = c("aut", "cre"), email = "kyou@nd.edu")
Description: It provides tools for computing densities and generating random samples
from matrix variate distributions, including matrix normal, Wishart, matrix Student-t,
matrix Dirichlet and matrix beta distributions. For complete disposition, see

Authors@R: person("Kisung", "You", role = c("aut", "cre"), email = "kyou@nd.edu",comment=c(ORCID="0000-0002-8584-459X"))
Description: Provides tools for computing densities and generating random samples
Imports: Rcpp, Rlinsolve, stats, utils, Rdpack

Title: Tools to Assess Mating Potential in Space and Time
person("Stuart", "Wagenius", email = "stuart.wagenius@gmail.com", role = c("cre", "aut")),
person("Danny", "Hanson", email = "danny.hanson52@gmail.com", role = "aut"),
person("Amy", "Waananen", email = "amy.waananen@gmail.com", role = "aut"))
Description: Provides tools to simulate, manage, visualize, and analyze
spatially and temporally explicit datasets of mating potential.
Implements methods to calculate synchrony, proximity, and compatibility.

Description: Tools to simulate, manage, visualize, and analyze
Imports: FNN, graphics, grDevices, Rcpp, sn, stats
Packaged: 2016-04-08 17:53:29 UTC; swagenius

Description: You can apply image processing effects that modifies the perceived material properties such as gloss,
smoothness, and blemishes. This is an implementation of the algorithm proposed by Boyadzhiev et al. (2015)
"Band-Sifting Decomposition for Image Based Material Editing". Documentation and practical tips of the package
Imports: jpeg, magrittr, methods, png, readbitmap, stringr, downloader,
Author: Hiroyuki Tsuda [aut, cre] (<https://orcid.org/0000-0001-9396-5327>)

Description: You can apply image processing effects that modifies the perceived material properties of objects
in photos, such as gloss, smoothness, and blemishes. This is an implementation of the algorithm proposed by
Boyadzhiev et al. (2015) "Band-Sifting Decomposition for Image Based Material Editing".
Documentation and practical tips of the package is available at <https://github.com/tsuda16k/materialmodifier>.