Converts character vectors between phonetic
representations.  Supports IPA (International Phonetic Alphabet),
X-SAMPA (Extended Speech Assessment Methods Phonetic Alphabet), and
ARPABET (used by the CMU Pronouncing Dictionary).

Classes and functions for working with IP (Internet
Protocol) addresses and networks, inspired by the Python 'ipaddress'
module.  Offers full support for both IPv4 and IPv6 (Internet Protocol
versions 4 and 6) address spaces. It is specifically designed to work
well with the 'tidyverse'.
assertthat, methods, Rcpp, vctrs (>= 0.2.2)

crayon, knitr, pillar (>= 1.4.0), rmarkdown, testthat (>=
2.2.0)

crayon, dplyr (>= 1.0.0), knitr, pillar (>= 1.4.5),
rmarkdown, testthat (>= 2.2.0)

crayon, dplyr (>= 1.0.0), fuzzyjoin (>= 0.1.6), knitr, pillar
(>= 1.4.5), rmarkdown, testthat (>= 2.2.0)

blob, crayon, dplyr (>= 1.0.0), fuzzyjoin (>= 0.1.6), knitr,
pillar (>= 1.4.5), rmarkdown, testthat (>= 2.2.0)

Classes and functions for working with IP (Internet Protocol)
addresses and networks, inspired by the Python 'ipaddress' module.
Offers full support for both IPv4 and IPv6 (Internet Protocol versions
4 and 6) address spaces. It is specifically designed to work well with
the 'tidyverse'.
bignum (>= 0.2.0), blob, crayon, dplyr (>= 1.0.0), fuzzyjoin
(>= 0.1.6), knitr, pillar (>= 1.4.5), rmarkdown, testthat (>=
2.2.0)

Tools for Message Passing Between Processes
Provides tools for passing messages between R processes.
Shiny Examples are provided showing how to perform useful tasks such as:
updating reactive values from within a future, progress bars for long running
async tasks, and interrupting async tasks based on user input.
testthat, knitr, rmarkdown, future, promises

testthat, knitr, rmarkdown, future, promises, redux

Inverse Probability of Censoring Weights to Deal with Treatment
Switch in Randomized Clinical Trials
c(person("Nathalie", "Graffeo", email = "nathalie.graffeo@univ-amu.fr", role = c("aut", "cre")), person("Aurelien", "Latouche", role=c("aut")), person("Sylvie", "Chevret", role=c("aut")))
Contains functions for formatting clinical trials data and implementing inverse probability of censoring weights to handle treatment switches when estimating causal treatment effect in randomized clinical trials.
Nathalie Graffeo [aut, cre],
Aurelien Latouche [aut],
Sylvie Chevret [aut]