Title: Analysis & Measurement of Promotion Effectiveness
person("Nahyun", "Kim", email = "nhkim1302@ncsoft.com", role = c("cre", "aut")),
person("Hyemin", "Um", email = "windy0126@ncsoft.com", role = "aut"),
person("Eunjo", "Lee", email = "gimmesilver@ncsoft.com", role = "aut"),
person(family = "NCSOFT Corporation", role = "cph")
Description: Analysis and measurement of promotion effectiveness on a given target variable (e.g. daily sales). After converting promotion schedule into dummy or smoothed predictor variables, the package estimates the effects of these variables controlled for trend/periodicity/structural change using prophet by Taylor and Letham (2017) <doi:10.7287/peerj.preprints.3190v2> and some prespecified variables (e.g. start of a month).
Imports: KernSmooth (>= 2.23.15), data.table (>= 1.11.4), ggpubr (>=

Imports: KernSmooth (>= 2.23.15), ggpubr (>= 0.1.8), reshape2 (>=

Description: Set the 'R' prompt dynamically, from a function. The package
contains some examples to include various useful dynamic information
in the prompt: the status of the last command (success or failure);
the amount of memory allocated by the current 'R' process; the name of
the R package(s) loaded by 'pkgload' and/or 'devtools'; various 'git'
information: the name of the active branch, whether it is dirty,
if it needs pushes pulls. You can also create your own prompt if you
Suggests: callr, gert, mockery, pkgload, ps (>= 1.6.0), R6, rstudioapi,
Packaged: 2021-03-02 19:53:20 UTC; gaborcsardi

Packaged: 2021-03-12 17:17:57 UTC; gaborcsardi

Title: Add Tooltips in 'Shiny' Apps with 'Hint.css'
Description: In 'Shiny' apps, it is sometimes useful to store information
on a particular item in a tooltip. 'Prompter' allows you to easily

Title: Prometheus 'PromQL' Query Client for 'R'
Authors@R: person("Dom", "Dwyer", email = "dom@itsallbroken.com", role = c("aut", "cre"))
Description: A native 'R' client library for querying the 'Prometheus'
time-series database, using the 'PromQL' query language.

Title: Analyzing Combination of Proportions and Relative Risk
Author: Maria Alvarez and Javier Roca-Pardinas
Description: The prop.comb.RR package analyzes combination of proportions and relative risk.