c(
person(
given = "Joel",
family = "Nitta",
role = c("aut", "cre"),
email = "joelnitta@gmail.com",
comment = c(ORCID = "0000-0003-4719-7472")),
person(
given = "Dom",
family = "Bennett",
role = "aut",
email = "dominic.john.bennett@gmail.com",
comment = c(ORCID = "0000-0003-2722-1359"))
)
utils, rentrez, DBI (>= 1.0.0), curl, cli, crayon, stringi,
duckdb, fs, assertthat, ape
sessioninfo, testthat, knitr, R.utils, rmarkdown, mockery

c(
person(
given = "Joel H.",
family = "Nitta",
role = c("aut", "cre"),
email = "joelnitta@gmail.com",
comment = c(ORCID = "0000-0003-4719-7472")),
person(
given = "Dom",
family = "Bennett",
role = "aut",
email = "dominic.john.bennett@gmail.com",
comment = c(ORCID = "0000-0003-2722-1359"))
)

Models a RESTful service as if it were a nested R list.
XML, RCurl, rjson, S4Vectors (>= 0.7.18), yaml
CRUDProtocol-class.R CacheInfo-class.R Credentials-class.R
HTTP-class.R Media-class.R MediaCache-class.R RestUri-class.R
RestContainer-class.R test_restfulr_package.R utils.R

XML, RCurl, rjson, S4Vectors (>= 0.13.15), yaml

Functions for Working with the 'www.estimize.com' Web Services
Provides the user with functions to develop their trading strategy,
uncover actionable trading ideas, and monitor consensus shifts with
crowdsourced earnings and economic estimate data directly from
<www.estimize.com>. Further information regarding the web services this
package invokes can be found at <www.estimize.com/api>.

Robust estimation of location and scatter
Steffen Liebscher and Thomas Kirschstein
The package implements some recently introduced
methodology for robust estimation of location and scatter as
well as outlier identification.

Robust Estimation of Location and Scatter
The restlos package provides algorithms for robust estimation of location and scatter based on minimum spanning trees (pMST), self-organizing maps (Flood Algorithm), and Delaunay triangulations (RDELA). The functions are also suitable for outlier detection.

The restlos package provides algorithms for robust estimation of location (mean and mode) and scatter based on minimum spanning trees (pMST), self-organizing maps (Flood Algorithm), Delaunay triangulations (RDELA), and nested minimum volume convex sets (MVCH). The functions are also suitable for outlier detection.