Title: Time-Based Joins to Analyze Sequences of Events
person("Emily", "Robinson", email = "robinson.es@gmail.com", role = c("aut", "cre")),
person("Anthony", "Baker", email = "anthony@datacamp.com", role = c("aut")),
person("David", "Robinson", email = "admiral.david@gmail.com", role = c("aut")))
Description: Time-based joins to analyze sequence of events,
both in memory and out of memory. after_join() joins two
tables of events, while funnel_start() and funnel_step()
join events in the same table. With the type argument, you
can switch between different funnel types, like first-first
Imports: dplyr, glue, tibble, magrittr, broom, purrr, rlang, tidyr,
Packaged: 2019-12-11 14:45:22 UTC; emily.robinson

High-order functions for data manipulation : sort or group data, given one
or more auxiliary functions. Functions are inspired by other pure
functional programming languages ('Haskell' mainly). The package also
provides built-in function operators for creating compact anonymous
functions, as well as the possibility to use the 'purrr' package syntax.

Title: Simple Utility Providing Terminal Access to all R Functions
Description: A small utility which wraps Rscript and provides access to all R functions from the shell.
Authors@R: person("Sahil", "Seth", email = "me@sahilseth.com", role = c("aut", "cre"))
Packaged: 2015-09-23 06:59:59 UTC; sahilseth

Description: A small utility which wraps Rscript and provides access to all R
Packaged: 2015-12-01 22:08:27 UTC; sahilseth

Title: Functional Rarity Indices Computation
person("Matthias", "Grenié", email = "matthias.grenie@gmail.com", role = c("aut", "cre")),
person("Pierre", "Denelle", email = "pierre.denelle@cefe.cnrs.fr", role = "aut"),
person("Caroline", "Tucker", email = "carolinemtucker@gmail.com", role = "aut")
Description: Computes functional rarity indices as proposed by Violle et al (in revision).
Various indices can be computed using both regional and local information.
Functional Rarity combines both the functional aspect of rarity as well as
Imports: cluster, dplyr (>= 0.4.3), methods, stats
Suggests: ade4, ggplot2, knitr, Matrix, microbenchmark, reshape2,