Empirical Bayes Estimation of Dynamic Bayesian Networks
This package is used to infer the adjacency matrix of a
network from time course data using an empirical Bayes
estimation procedure based on Dynamic Bayesian Networks.

Infer the adjacency matrix of a
network from time course data using an empirical Bayes
estimation procedure based on Dynamic Bayesian Networks.

Functions for querying the EBI Metagenomics Portal (https://www.ebi.ac.uk/metagenomics/). The current main focus is on taxa abundance data, but the intention is that this package should evolve into a general purpose package for working with EBI Metagenomics data using R.

Functions for querying the EBI Metagenomics Portal <https://www.ebi.ac.uk/metagenomics/>. The current main focus is on taxa abundance data, but the intention is that this package should evolve into a general purpose package for working with EBI Metagenomics data using R.
R (>= 3.0.0), sads, vegan, breakaway, methods

Access and Analyze eBird Status and Trends Data
c(person(given = "Tom",
family = "Auer",
role = c("aut", "cre"),
email = "mta45@cornell.edu",
comment = c(ORCID = "0000-0001-8619-7147")),
person(given = "Daniel",
family = "Fink",
role = "aut",
email = "df36@cornell.edu",
comment = c(ORCID = "0000-0002-8368-1248")),
person(given = "Matthew",
family = "Strimas-Mackey",
role = "aut",
email = "mes335@cornell.edu",
comment = c(ORCID = "0000-0001-8929-7776")),
person(given = "Cornell Lab of Ornithology",
role = "cph"))
Tools to download, map, plot and analyze eBird Status
and Trends data (<https://ebird.org/science/status-and-trends>). eBird
(<https://ebird.org>) is a global database of bird observations collected by
citizen scientists. eBird Status and Trends uses these data to analyse
continental bird abundances, range boundaries, habitats, and trends.
car, data.table, dplyr (>= 0.7.0), fasterize, gbm (>= 2.1.5),
ggplot2, grDevices, gridExtra, methods, mgcv, PresenceAbsence,
rappdirs, raster, scales, sf, stats, stringr, tidyr, tools,
utils, viridisLite, xml2, rgdal
covr, fields, knitr, rmarkdown, rnaturalearth, smoothr,
testthat, velox
Tom Auer [aut, cre] (<https://orcid.org/0000-0001-8619-7147>),
Daniel Fink [aut] (<https://orcid.org/0000-0002-8368-1248>),
Matthew Strimas-Mackey [aut] (<https://orcid.org/0000-0001-8929-7776>),
Cornell Lab of Ornithology [cph]