checkmate, chron, DBI, httr, labelVector, lubridate, readr,
stringr, tidyr

c(
person("Benjamin", "Nutter", email = "benjamin.nutter@gmail.com",
role = c("aut", "ctb", "cre")),
person("Stephen", "Lane", role = "ctb"),
person("Will", "Beasley", role = "ctb"),
person("Jeffrey", "Horner", role = "ctb"),
person("Will", "Gray", role = "ctb"),
person("Jeremy", "Stephens", role = "ctb"),
person("Marcus", "Lehr", role = "ctb", email = "marcus.j.lehr@gmail.com"))
Benjamin Nutter [aut, ctb, cre],
Stephen Lane [ctb],
Will Beasley [ctb],
Jeffrey Horner [ctb],
Will Gray [ctb],
Jeremy Stephens [ctb],
Marcus Lehr [ctb]

Reconstruction of Daily Data - Precipitation
Computes quality control to daily precipitation datasets, reconstructs the original series by estimating precipitation in missing values, creates new series in a specified pair of coordinates and creates grids.

Computes quality control for daily precipitation datasets, reconstructs the original series by estimating precipitation in missing values, creates new series in a specified pair of coordinates and creates grids.

Computes quality control for daily precipitation datasets,
reconstructs the original series by estimating precipitation in missing values,
creates new series in a specified pair of coordinates and creates grids.

Get Reddit Ads Data via the 'Windsor.ai' API
Collect  your data on digital marketing campaigns from reddit Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Markov Chain Monte Carlo Methods for Redistricting Simulation
Ben Fifield <bfifield@princeton.edu>, Alexander Tarr <atarr@princeton.edu>, Michael Higgins <mjh5@princeton.edu>, and Kosuke Imai <kimai@princeton.edu>
Enables researchers to sample redistricting plans from a pre-specified target distribution using a Markov Chain Monte Carlo algorithm. The package allows for the implementation of various constraints in the redistricting process such as geographic compactness and population parity requirements.  The algorithm also can be used in combination with efficient simulation methods such as simulated and parallel tempering algorithms. Tools for analysis such as inverse probability reweighting and plotting functionality are included. The package implements methods described in Fifield, Higgins, Imai and Tarr (2015) ``A New Automated Redistricting Simulator Using Markov Chain Monte Carlo,'' working paper available at <http://http://imai.princeton.edu/research/files/redist.pdf>.