Title: A Inclusive, Unifying API for Progress Updates
Description: A minimal, unifying API for scripts and packages to report progress updates from anywhere including when using parallel processing.  The package is designed such that the developer can to focus on what progress should be reported on without having to worry about how to present it.  The end user has full control of how, where, and when to render these progress updates, e.g. in the terminal using utils::txtProgressBar() or progress::progress_bar(), in a graphical user interface using utils::winProgressBar(), tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using beep::beepr(), or on a file system via the size of a file. Anyone can add additional, customized, progression handlers. The 'progressr' package uses R's condition framework for signaling progress updated. Because of this, progress can be reported from almost anywhere in R, e.g. from classical for and while loops, from map-reduce APIs like the lapply() family of functions, 'purrr', 'plyr', and 'foreach'. It will also work with parallel processing via the 'future' framework, e.g. future.apply::future_lapply(), furrr::future_map(), and 'foreach' with 'doFuture'. The package is compatible with Shiny applications.

foreach, plyr, doFuture, future, future.apply, furrr, shiny,

Title: A simple interface to the PROJ.4 cartographic projections
Description: A simple interface to lat/long projection and datum
transformation of the PROJ.4 cartographic projections library. It
allows transformation of geographic coordinates from one projection
SystemRequirements: proj 4.4.6 or higher (http://proj.maptools.org/)

SystemRequirements: proj 4.4.6 or higher (https://proj.org/)

Title: A simple interface to the PROJ.4 cartographic projections library

transformation of the PROJ.4 cartographic projections library.
It allows transformation of geographic coordinates from one

Authors@R: c(person("Thibaut", "Jombart", email = "thibautjombart@gmail.com", role = c("aut", "cre")), person("Pierre", "Nouvellet", email = "p.nouvellet@imperial.ac.uk", role = c("aut")))
Description: Provides functions and graphics for projecting daily incidence based on past incidence, and estimates of the serial interval and reproduction number. Projections are based on a branching process using a Poisson-distributed number of new cases per day, similar to the model used for estimating R0 in 'EpiEstim' or in 'earlyR', and described by Nouvellet et al. (2017) <doi:10.1016/j.epidem.2017.02.012>.
Suggests: testthat, vdiffr, roxygen2, knitr, rmarkdown, outbreaks
Imports: stats, utils, incidence, distcrete, ggplot2