Title: Read 'CEP' and Legacy 'CANOCO' Files
person(given = c("Gavin", "L."), family = "Simpson",
Description: Read Condensed Cornell Ecology Program ('CEP') and legacy

Author: Jari Oksanen [aut, cre] (<https://orcid.org/0000-0001-7102-9626>),

person("Michael", "Sumner", email = "mdsumner@gmail.com", role = c("aut", "cre"),
person("Miles", "McBain",  role = c("ctb"),
person("Ben", "Raymond", role = c("ctb"), comment = "regex wizardry")
Description: Download imagery tiles to a standard cache and load the data into raster objects.
Facilities for 'AWS' terrain <https://aws.amazon.com/public-datasets/terrain/> terrain and 'Mapbox'
Imports: slippymath (>= 0.3.0), curl, dplyr, fs (>= 1.3.0), glue,
rappdirs, tibble, stats, purrr, magrittr, rlang, sp, graphics,
Suggests: testthat, covr, rgdal, spelling
Author: Michael Sumner [aut, cre] (<https://orcid.org/0000-0002-2471-7511>),

Title: Covariance Estimation Regularized by Nuclear Norm Penalties
Description: An implementation of the covariance estimation method
proposed in Chi and Lange (2014), "Stable estimation of a covariance matrix guided by nuclear norm penalties,"
Computational Statistics and Data Analysis 80:117-128.
Maintainer: Eric C. Chi <ecchi1105@gmail.com>
Author: Eric C. Chi <ecchi1105@gmail.com>

Title: Access the Canadian Election Study Datasets
Maintainer: Paul A. Hodgetts <hodgetts.paul@outlook.com>
Description: Makes accessing and loading the Canadian Election Study (<http://www.ces-eec.ca/>, <https://ces-eec.arts.ubc.ca/>, <https://search1.odesi.ca/#/>) surveys into the R workspace more efficient by
downloading a requested survey and loading it as a data object. This removes the need to locate, download, load,
and change working directories when working with the Canadian Election Study surveys.
Imports: dplyr, haven, readr, labelled, tidyr, utils

Title: Cluster Estimated Standard Errors
Authors@R: c(person("Diogo", "Ferrari", email="diogoferrari@gmail.com", role=c("aut", "cre")),
Description: Implementation of the Cluster Estimated Standard Errors (CESE) proposed in Jackson (2020) <DOI:10.1017/pan.2019.38> to compute clustered standard errors of linear coefficients in regression models with grouped data.
Imports: magrittr, purrr, dplyr, tibble, lmtest