fields, zoo, coda, HelpersMG (>= 1.2), shiny, R (>= 2.14.0)

fields, zoo, coda, HelpersMG (>= 1.3.4), shiny, R (>= 2.14.0)

fields, parallel, zoo, coda, HelpersMG (>= 1.3.4), R (>=
2.14.0)

numDeriv, parallel, optimx, lmf, HelpersMG (>= 1.7.5), R (>=
2.14.0)

numDeriv, parallel, optimx, lmf, HelpersMG (>= 2.0), R (>=
2.14.0)

numDeriv, parallel, optimx, lmf, HelpersMG (>= 2.0), R (>=
3.4)

numDeriv, parallel, optimx, lmf, HelpersMG (>= 3.2), R (>=
3.4)

shiny, fields, progress, car, MultiRNG, nlWaldTest

Tools to Manage a Parametric Function that Describes Phenology
and More
numDeriv, parallel, optimx, lmf, HelpersMG (>= 4.1.3), R (>=
3.5)
shiny, fields, progress, car, MultiRNG, nlWaldTest, pbapply

numDeriv, parallel, optimx, HelpersMG (>= 5.5), R (>= 4.1)
shiny, fields, progress, car, MultiRNG, nlWaldTest, pbapply,
cranlogs
Functions used to fit and test the phenology of species based on counts. Based on Girondot, M. (2010) <doi:10.3354/esr00292> for the phenology function, Girondot, M. (2017) <doi:10.1016/j.ecolind.2017.05.063> for the convolution of negative binomial, Girondot, M. and Rizzo, A. (2015) <doi:10.2993/etbi-35-02-337-353.1> for Bayesian estimate, Pfaller JB, ..., Girondot M (2019) <doi:10.1007/s00227-019-3545-x> for tag-loss estimate, Hancock J, ..., Girondot M (2019) <doi:10.1016/j.ecolmodel.2019.04.013> for nesting history, Laloe J-O, ..., Girondot M, Hays GC (2020) <doi:10.1007/s00227-020-03686-x> for aggregating several seasons.

Projecting Satellite-Derived Phenology in Space
dplyr, phenex, plyr, raster, stringr, rgdal
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>.

dplyr, phenex, plyr, raster, stringr, rgdal, doParallel

This tool projects annual phenology metrics and long-term phenology trends, following methodologies described in John (2016) <https://etda.libraries.psu.edu/catalog/13521clj5135>.

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