Title: Design Functions for Choice Studies
Authors@R: person("Jack", "Horne", role=c("aut", "cre"),
Description: This package consists of functions to design DCMs and other types of choice
studies (including MaxDiff and other tradeoffs)

Description: Design functions for DCMs and other types of choice studies (including MaxDiff and other tradeoffs).

Title: Amend, Augment and Aid Analysis of John Snow's Cholera Data
Authors@R: person("Peter Li", email = "lindbrook@gmail.com",
Description: Amends errors, augments data and aids analysis of John Snow's map
of the 1854 London cholera outbreak. The original data come from
Rusty Dodson and Waldo Tobler's 1992 digitization of Snow's map. Those
data, <http://www.ncgia.ucsb.edu/pubs/snow/snow.html>, are no longer
available. However, they are preserved in the 'HistData' package,
Imports: HistData (>= 0.7-8), deldir (>= 0.0-18), igraph, pracma,
Suggests: ggplot2, KernSmooth, knitr, rmarkdown

Imports: alphahull, deldir (>= 0.0-18), HistData (>= 0.7-8), grDevices,
igraph, KernSmooth, pracma, RColorBrewer, scales, sp, stats

Imports: deldir (>= 0.0-18), HistData (>= 0.7-8), grDevices, igraph,
KernSmooth, pracma, RColorBrewer, scales, sp, stats

Title: Amend, Augment and Aid Analysis of John Snow's Cholera Map

"Peter", "Li", email = "lindbrook@gmail.com", role = c("aut", "cre")

Imports: deldir (>= 0.0-18), HistData (>= 0.7-8), ggplot2, igraph,
KernSmooth, pracma, RColorBrewer, scales, sp, threejs, TSP

Imports: deldir (>= 0.0-18), ggplot2, HistData (>= 0.7-8), igraph,
KernSmooth, pracma, RColorBrewer, sp, threejs, TSP

KernSmooth, pracma, RColorBrewer, sp, stats, threejs, TSP,

Imports: deldir (>= 1.0-2), ggplot2, grDevices, HistData (>= 0.7-8),
igraph, KernSmooth, pracma, raster, RColorBrewer, sp, stats,

Description: Choplump Tests are Permutation Tests for Comparing Two Groups with Some Positive but Many Zero Responses
Packaged: Tue Sep  4 11:18:36 2007; faym

Description: Choplump Tests are Permutation Tests for Comparing Two
Groups with Some Positive but Many Zero Responses