Fetch 'Scholary' Full Text from 'Crossref'
Text mining client for 'Crossref' (<https://crossref.org>). Includes
functions for getting getting links to full text of articles, fetching full
text articles from those links or Digital Object Identifiers ('DOIs'),
and text extraction from 'PDFs'.
c(person("Scott", "Chamberlain", role = c("aut", "cre"),
email = "myrmecocystus+r@gmail.com"))
roxygen2 (>= 6.0.1), rcrossref, testthat

c(person("Scott", "Chamberlain",
role = c("aut", "cre"),
email = "myrmecocystus+r@gmail.com",
comment = c(ORCID = "0000-0003-1444-9135")))
text-mining, literature, publications, crossref,
pdf, xml

roxygen2 (>= 7.1.0), rcrossref, testthat

roxygen2 (>= 7.1.0), rcrossref, testthat, vcr (>= 0.5.4)

c(
person("Scott", "Chamberlain",
role = c("aut", "cre"),
email = "myrmecocystus+r@gmail.com",
comment = c(ORCID = "0000-0003-1444-9135")),
person(given = "rOpenSci",
role = "fnd",
comment = "https://ropensci.org/")
)
Scott Chamberlain [aut, cre] (<https://orcid.org/0000-0003-1444-9135>),
rOpenSci [fnd] (https://ropensci.org/)

CCMN and other noRMalizatioN methods for metabolomics data
pcaMethods (>= 1.20.0), Biobase, pls, methods
Implements the Cross-contribution Compensating Multiple
standard Normalization (CCMN) method and other normalization
algorithms.
'classes.R' 'crmn-package.R' 'misc.R' 'norm.R' 'generic.R'

pcaMethods (>= 1.24.0), Biobase, pls, methods

pcaMethods (>= 1.24.0), Biobase, methods

R (>= 2.10), pcaMethods (>= 1.56.0), Biobase, methods
'classes.R' 'crmn-package.R' 'norm.R' 'misc.R' 'generic.R'

CCMN and Other Normalization Methods for Metabolomics Data
Implements the Cross-contribution Compensating Multiple
standard Normalization (CCMN) method described in Redestig et
al. (2009) Analytical Chemistry <doi:10.1021/ac901143w>
and other normalization algorithms.

pcaMethods (>= 1.20.2), Biobase, pls, methods

Downloads and Builds datasets for Climate Reference Network
The crn package provides the core functions required to
download and format data from the Climate Reference Network.
Both daily and hourly data are downloaded from the ftp, a
consoliated file of all stations is created, station metadata
is extracted. In addition functions for selecting individual
variables and creating R friendly datasets for them is
provided.