An interface to the Integrated Taxonomic Information System ('ITIS')
(<https://www.itis.gov>). Includes functions to work with the 'ITIS' REST
API methods (<https://www.itis.gov/ws_description.html>), as well as the
'Solr' web service (<https://www.itis.gov/solr_documentation.html>).

roxygen2 (>= 6.0.1), knitr, testthat, webmockr, vcr

roxygen2 (>= 6.1.1), knitr, testthat, webmockr, vcr

c(
person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus@gmail.com",
comment = c(ORCID = "0000-0003-1444-9135")),
person(given = "rOpenSci",
role = "fnd",
comment = "https://ropensci.org/"))
roxygen2 (>= 6.1.1), knitr, testthat, webmockr, vcr (>=
0.3.0)
taxonomy, biology, nomenclature, JSON, API, web,
api-client, identifiers, species, names

solrium (>= 1.1.4), crul (>= 0.9.0), jsonlite, data.table,
tibble
roxygen2 (>= 7.1.0), knitr, testthat, webmockr, vcr (>=
0.5.4)

Beat Kaufmann <beat.kaufmann@epfl.ch> with contributions from R.H. Zamar <ruben@stat.ubc.ca> and G.V. Cohen-Freue <gcohen@stat.ubs.ca>.
Finds a robust instrumental variables estimator using a high breakpoint point S-estimator of multivariate location and scatter matrix.

Beat Kaufmann <beat.kaufmann@epfl.ch> with contributions from R.H. Zamar <ruben@stat.ubc.ca> and G.V. Cohen-Freue <gcohen@stat.ubc.ca>.
Finds a robust instrumental variables estimator using a high breakdown point S-estimator of multivariate location and scatter matrix.

Beat Kaufmann <beat.kaufmann@epfl.ch> with contributions from
R.H. Zamar <ruben@stat.ubc.ca> and G.V. Cohen-Freue
<gcohen@stat.ubc.ca>.
Finds a robust instrumental variables estimator using a
high breakdown point S-estimator of multivariate location and
scatter matrix.

Gabriela Cohen-Freue and Davor Cubranic, with contributions
from B. Kaufmann and R.H. Zamar

Gabriela Cohen-Freue and Davor Cubranic,
with contributions from B. Kaufmann and R.H. Zamar
Finds a robust instrumental variables estimator using a
high breakdown point S-estimator of multivariate location
and scatter matrix.

Common Fragmentation and Connectivity Indices for Riverscapes
c(
person("Damiano", "Baldan", email = "damiano.baldan91@gmail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-9237-4883")),
person("David", "Cunillera-Montcusi", role = "ctb", comment = c(ORCID = "0000-0001-8666-346X")),
person("Andrea","Funk", role = "ctb", comment = c(ORCID = "0000-0002-0568-1234")))
Indices for assessing riverscape fragmentation, including the Dendritic Connectivity Index, the Population Connectivity Index, the River Fragmentation Index, the Probability of Connectivity, and the Integral Index of connectivity. For a review, see Jumani et al. (2020) <doi:10.1088/1748-9326/abcb37>. Functions to calculate temporal indices improvement when fragmentation due to barriers is reduced are also included.
doParallel, dplyr, foreach, igraph, magrittr, markdown,
parallel, rlang, stats, tidyr, tidyselect, dodgr, reshape2
knitr, ggnetwork, ggplot2, viridis, rmarkdown
Damiano Baldan [aut, cre] (<https://orcid.org/0000-0001-9237-4883>),
David Cunillera-Montcusi [ctb]
(<https://orcid.org/0000-0001-8666-346X>),
Andrea Funk [ctb] (<https://orcid.org/0000-0002-0568-1234>)