Description: A package for drawing pretty heatmaps in R. The ordinary
heatmap function in R has several drawbacks when it comes to

Description: A package for drawing pretty heatmaps in R. The ordinary heatmap
function in R has several drawbacks when it comes to producing publication
quality heatmaps. It is hard to produce pictures with consistent text, cell
and overall sizes and shapes. The function pheatmap tries to alleviate the
problems by offering more fine grained control over heatmap dimensions and

Description: Implementation of heatmaps that offers more control
Imports: grid, RColorBrewer, scales, gtable, stats, grDevices, graphics

Description: A grid based implementation of heatmaps that offers more control
Imports: grid, RColorBrewer, scales, gtable

Title: Visualization for PheCode Mapping with ICD-9 and ICD-10-CM Codes
Authors@R: person(family = "PARSE LTD", email = "software@parse-health.org", role = c('cre', 'aut'))
Description: To build a shiny app for visualization of the hierarchy of PheCode Mapping with International Classification of Diseases (ICD). The same PheCode hierarchy is displayed in two ways: as a sunburst plot and as a tree.
Imports: collapsibleTree, config (>= 0.3.1), dplyr, DT, golem (>=
0.3.1), plotly, purrr, readr, rintrojs, shinycssloaders,

Title: Insect Phenology Model Evaluation Based on Daily Temperatures
Authors@R: c(person("Rafael", "de Andrade Moral", role = c("aut", "cre"), email = "rafael.deandrademoral@mu.ie"), person("Rowan", "Fealy", role = "aut"))
Depends: R (>= 3.0.0), ggplot2, dplyr, reshape, grid
Description: Generates predicted stage change days for an insect, based on daily temperatures and development rate parameters, as developed by Pollard (2014) <http://mural.maynoothuniversity.ie/view/ethesisauthor/Pollard=3ACiaran_P=2E=3A=3A.html>. A few example datasets are included and implemented for P. vulgatissima, the blue willow beetle, but the approach can be readily applied to other species that display similar behaviour.

Maintainer: Leonardo C. Branco <leonardocb@usp.br>
Description: This package is an alternative to carrying out phenotypic adaptability and stability analyses, taking into account nonparametric statistics, and can be used as a robust approach, and less sensitive to departures from common genotypic, environmental, and GxE effects data assumptions (e.g., normal distribution of errors).