Packaged: 2022-09-06 20:31:47 UTC; marcgirondot

Title: Projecting Satellite-Derived Phenology in Space
Authors@R: person("Christian", "John", email="cjohn@ucdavis.edu", role=c("aut","cre"))
Imports: dplyr, phenex, plyr, raster, stringr, rgdal
Description: This takes in a series of multi-layer raster files and returns a phenology projection raster, following methodologies described in John (2016) <https://etda.libraries.psu.edu/catalog/13521clj5135>.
Packaged: 2017-11-15 23:35:04 UTC; christianjohn

Imports: dplyr, phenex, plyr, raster, stringr, rgdal, doParallel
Packaged: 2018-02-21 04:37:51 UTC; christianjohn

Description: This tool projects annual phenology metrics and long-term phenology trends, following methodologies described in John (2016) <https://etda.libraries.psu.edu/catalog/13521clj5135>.
Packaged: 2018-03-26 04:22:19 UTC; christianjohn

Title: Process Digital Images of a Vegetation Cover
Author: Gianluca Filippa, Edoardo Cremonese, Mirco Migliavacca, Marta Galvagno, Matthias Folker, Andrew D. Richardson, Enrico Tomelleri
Description: A collection of functions to process digital images, depict greenness index trajectories and extract relevant phenological stages.
Imports: zoo, plyr, SDMTools, jpeg, stringr (>= 1.0.0), bcp,
strucchange, parallel, foreach, doParallel, iterators, gtools,

Imports: zoo, plyr, jpeg, stringr (>= 1.0.0), bcp, strucchange,
parallel, foreach, doParallel, iterators, gtools, raster, sp

person('Layla', 'Aref', , 'larefnezhad@gmail.com', 'aut'))
Description: Use phenotype risk scores based on linked clinical and genetic data
to study Mendelian disease and rare genetic variants. See Bastarache et al.
Imports: checkmate (>= 2.0.0), data.table (>= 1.5.0), foreach (>=
Suggests: doParallel (>= 1.0.17), knitr, rmarkdown, testthat (>=
Packaged: 2022-05-06 17:23:36 UTC; joshuaschoenbachler

Packaged: 2022-05-31 17:15:06 UTC; joshuaschoenbachler

Title: Tool for Phi Delta Analysis of Features
Author: Nikolas Rothe and Ursula Neumann
Description: Analysis of features by phi delta diagrams. In particular, functions for reading data and calculating phi and delta as well as the functionality to plot it. Moreover it is possible to do further analysis on the data by generating rankings. For more information on phi delta diagrams, see also Giuliano Armano (2015) <doi:10.1016/j.ins.2015.07.028>.