Title: Quickly Map and Explore Spatial Data
Authors@R: person(given = "Jeffrey W.",family = "Hollister",
Description: While analyzing geospatial data, easy visualization is often needed
that allows for quick plotting, and simple, but easy interactivity.
Additionally, visualizing geospatial data in projected coordinates is also
desirable.  The 'quickmapr' package provides a simple method to visualize 'sp'
and 'raster' objects, allows for basic zooming, panning, identifying, and
labeling of spatial objects, and does not require that the data be in
Imports: rgeos, sp, rgdal, stats, grDevices, graphics, methods, httr,

Description: While analyzing geospatial data, easy visualization is often
needed that allows for quick plotting, and simple, but easy interactivity.
desirable. The 'quickmapr' package provides a simple method to visualize 'sp'
and 'raster' objects, allows for basic zooming, panning, identifying,
labeling, selecting, and measuring spatial objects.  Importantly, it does
not require that the data be in geographic coordinates.
Imports: raster, sp, rgeos, rgdal, httr, stats, grDevices, graphics,

desirable. The 'quickmapr' package provides a simple method to visualize
'sp', 'sf' (via coercion to 'sp'), and 'raster' objects, allows for basic
zooming, panning, identifying,labeling, selecting, and measuring spatial
objects.  Importantly, it does not require that the data be in geographic

person("Fredrik", "Savje", email = "fredrik.savje@berkeley.edu", role = c("aut", "cre")),
Provides functions for constructing near-optimal generalized full matching.
Generalized full matching is an extension of the original full matching method
to situations with more intricate study designs. The package is made with
large data sets in mind and derives matches more than an order of magnitude

Imports: sandwich, scclust (>= 0.2.0), stats

Title: Fits Psychometric Functions for Multiple Groups
person("Linares", "Daniel", email = "danilinares@gmail.com", role = c("aut","cre")),
person("López-Moliner", "Joan", email = "j.lopezmoliner@gmail.com", role = "aut"))
Description: Quickly fits and plots psychometric functions (normal, logistic, Weibull or any or any function defined by the user) for multiple groups.
Depends: R (>= 3.1.1), boot, DEoptim, dplyr, ggplot2, tidyr
Packaged: 2015-04-29 09:41:56 UTC; daniellinares