Title: Matched Clinical factors and microarray data (part of
Description: This package contains data sets with matched categorical
clinical factors and microarray data for three cancer studies.
This is part of the integrativeME package that combines these
two types of variables in a binary classification framework by
selecting a hybrid signature of clinical factors and gene

Title: R Wrapper for the Carbon Intensity API
Description: Electricity is not made equal and it vary in its carbon footprint (or carbon intensity)
depending on its source. This package enables to access and query data provided by the
Carbon Intensity API (<https://carbonintensity.org.uk/>). National Grid’s Carbon Intensity API
provides an indicative trend of regional carbon intensity of the electricity system in Great Britain.
Imports: dplyr, httr, jsonlite, lubridate, magrittr, tidyr, tibble,

Suggests: utils, knitr, rmarkdown, testthat (>= 2.1.0), covr, vcr
Packaged: 2021-04-30 23:26:27 UTC; katarzynakulma

Title: Intensity of Change for Comparing Categorical Maps from
Author: Robert Gilmore Pontius Jr. <rpontius@clarku.edu>, Sam Khallaghi <SKhallaghi@clarku.edu>
Description: Calculate metrics of change intensity for category, transition and interval levels in categorical maps from sequential intervals. For more information please consult: Aldwaik,Safaa Zakaria and Robert Gilmore Pontius Jr. (2012). "Intensity analysis to unify measurements of size and stationarity of land changes by interval, category, and transition". Landscape and Urban Planning. 106, 103-114. <doi:10.1016/j.landurbplan.2012.02.010>.
Imports: diffeR, raster, ggplot2, reshape2, graphics, grDevices, stats,

Title: Intensity Analysis of Spatial Point Patterns on Complex Networks
Authors@R: c(person("Pol", "Llagostera", email = "pol.llagostera@udl.cat", role = c("aut", "cre")),
person("Matthias", "Eckardt", email = "m.eckardt@hu-berlin.de", role = "aut"))
Suggests: spatstat (>= 2.3.0), testthat (>= 3.0.0)
Description: Tools to analyze point patterns in space occurring over planar network structures derived from graph-related intensity measures for undirected, directed, and mixed networks.
This package is based on the following research: Eckardt and Mateu (2018) <doi:10.1080/10618600.2017.1391695>. Eckardt and Mateu (2021) <doi:10.1007/s11749-020-00720-4>.