c(person("Alberto", "Arcagni", role = c("aut", "cre"), email = "alberto.arcagni@unimib.it"), person("Marco", "Fattore", role = c("aut")))
Alberto Arcagni [aut, cre],
Marco Fattore [aut]
Implements tools for the analysis of partially ordered data, with a particular focus on the evaluation of multidimensional systems of indicators and on the analysis of poverty. References, Fattore M. (2016) <doi:10.1007/s11205-015-1059-6> Fattore M., Arcagni A. (2016) <doi:10.1007/s11205-016-1501-4> Arcagni A. (2017) <doi:10.1007/978-3-319-45421-4_19>.

c(person("Alberto", "Arcagni", role = c("aut", "cre"), email = "alberto.arcagni@uniroma1.it"), person("Marco", "Fattore", role = c("aut")))

Recognize and parse dates in various formats, including all ISO
8601 formats
Parse dates automatically, without the need of
specifying a format. Currently it includes the git date parser.
It can also recognize and parse all ISO 8601 formats.

Recognize and Parse Dates in Various Formats, Including All ISO
8601 Formats

Parallelized Dynamic Web-Scraping Using 'RSelenium'
c(
person("Till", "Tietz", email = "ttietz2014@gmail.com", role = c("cre","aut")))
A system to increase the efficiency of dynamic web-scraping with 'RSelenium'
by leveraging parallel processing. You provide a function wrapper for your 'RSelenium'
scraping routine with a set of inputs, and 'parsel' runs it in several browser instances.
Chunked input processing as well as error catching and logging ensures seamless
execution and minimal data loss, even when unforeseen 'RSelenium' errors occur.
rmarkdown, knitr, testthat (>= 3.0.0), covr (>= 3.5.1)

Parallel Dynamic Web-Scraping Using 'RSelenium'

Parse Thermo MSF Files and Estimate Protein Abundances
person("Benjamin", "Jack", email = "benjamin.r.jack@gmail.com", role = c("aut", "cre"))
Provides functions for parsing Thermo MSF files produced by Proteome Discoverer 1.4.x (see <https://thermofisher.com> for more information). This package makes it easy to view individual peptide information, including peak areas, and to map peptides to locations within the parent protein sequence. This package also estimates protein abundances from peak areas and across multiple technical replicates. The author of this package is not affiliated with ThermoFisher Scientific in any way.
testthat (>= 1.0.2), knitr, rmarkdown, ggplot2