A package for sending push notifications to mobile devices (iOS and
Android) and the desktop using Pushover

Send push notifications to mobile devices or the desktop using Pushover. These notifications can display job status, results, scraped web data, or any other text or numeric data.

Send Push Notifications using 'Pushover'
person("Brian", "Connelly", , "bdc@bconnelly.net", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-9948-0379"))
Send push notifications to mobile devices or the desktop
using 'Pushover' <https://pushover.net>. These notifications can
display things such as results, job status, plots, or any other text
or numeric data.
Brian Connelly [aut, cre] (<https://orcid.org/0000-0002-9948-0379>)

Assembling Data Sets for Non-Linear Mixed Effects Modeling
c(
person(c("Olivier"), "Barriere", role = "aut"),
person(c("Mario"), "Gonzalez Sales", role = c("aut", "cre"), email = "mario@modelinggreatsolutions.com")
)
To Simplify the time consuming and error prone task of assembling complex data sets for non-linear mixed effects modeling. Users are able to select from different absorption processes such as zero and first order, or a combination of both. Furthermore, data sets containing data from several entities, responses, and covariates can be simultaneously assembled.
utils, lubridate, stats, readxl, reshape, reshape2, sqldf,
kableExtra, plyr, dplyr, tidyverse, readr
Olivier Barriere [aut],
Mario Gonzalez Sales [aut, cre]

Likelihood Ratio Test-Based Approaches to Pharmacovigilance
c(
person("Saptarshi", "Chakraborty", email = "chakra.saptarshi@gmail.com", role = c("aut", "cre")),
person("Marianthi", "Markatou", role = "aut"),
person("Anran", "Liu", role = "ctb")
)
A suite of likelihood ratio test based methods to use in pharmacovigilance. Contains various testing and post-processing functions.
stats, methods, utils, grDevices, magrittr (>= 2.0.0),
progress, data.table, bit64, glue, RColorBrewer, ggplot2
Saptarshi Chakraborty [aut, cre],
Marianthi Markatou [aut],
Anran Liu [ctb]