Description: 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
Imports: assertthat, methods, Rcpp, vctrs (>= 0.2.2)

Imports: blob (>= 1.2.0), methods, Rcpp, rlang (>= 0.4.0), vctrs (>=

Suggests: crayon, knitr, pillar (>= 1.4.0), rmarkdown, testthat (>=

Suggests: crayon, dplyr (>= 1.0.0), knitr, pillar (>= 1.4.5),

Suggests: crayon, dplyr (>= 1.0.0), fuzzyjoin (>= 0.1.6), knitr, pillar

Imports: Rcpp, rlang (>= 0.4.0), vctrs (>= 0.3.0)
Suggests: blob, crayon, dplyr (>= 1.0.0), fuzzyjoin (>= 0.1.6), knitr,
pillar (>= 1.4.5), rmarkdown, testthat (>= 2.2.0)

Description: 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
Suggests: bignum (>= 0.2.0), blob, crayon, dplyr (>= 1.0.0), fuzzyjoin
(>= 0.1.6), knitr, pillar (>= 1.4.5), rmarkdown, testthat (>=

Packaged: 2022-08-12 04:33:30 UTC; davidhall

Title: Tools for Message Passing Between Processes
Maintainer: Ian E. Fellows <ian@fellstat.com>
Description: 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.
Suggests: testthat, knitr, rmarkdown, future, promises
Packaged: 2018-09-11 00:29:27 UTC; ianfellows

Suggests: testthat, knitr, rmarkdown, future, promises, redux
Packaged: 2018-11-05 18:20:07 UTC; ianfellows

Packaged: 2019-01-11 23:35:08 UTC; ianfellows

Packaged: 2019-06-22 16:37:17 UTC; ianfellows

Title: Inverse Probability of Censoring Weights to Deal with Treatment
Authors@R: 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")))
Description: 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.