Title: Convert from UTC to Local Time for United States Counties
email = "brooke.anderson@colostate.edu", role = c("aut", "cre")))
Description: Inputs date-times in Coordinated Universal Time (UTC)
and converts to a local date-time and local date for US counties, based on
each county's Federal Information Processing Standard (FIPS) code.
Environmental Health Sciences (R00ES022631) and the National Science
Imports: dplyr (>= 0.4.3), lubridate (>= 1.5.6)
Suggests: choroplethr (>= 3.5.2), choroplethrMaps (>= 1.0), ggplot2 (>=
Packaged: 2016-06-10 23:30:28 UTC; brookeanderson

email = "brooke.anderson@colostate.edu", role = c("aut", "cre")),
email = "gzmkobe@gmail.com", role = c("ctb")))
Packaged: 2016-10-21 21:21:02 UTC; brookeanderson

Title: Compiles Meterological Data for U.S. Counties
Description: Interacts with NOAA data sources (including the NCDC API at
<http://www.ncdc.noaa.gov/cdo-web/webservices/v2> and ISD data) using
functions from the 'rnoaa' package to obtain and compile weather time
series for U.S. counties. This work was supported in part by grants from the
National Institute of Environmental Health Sciences (R00ES022631) and the
Suggests: countytimezones (>= 0.1.0), knitr (>= 1.14.0), pander(>=
Packaged: 2016-10-25 19:13:55 UTC; brookeanderson

Title: Brownian Motion Processes for 'nlme'-Models
Authors@R: person("Oliver", "Stirrup", email = "oliverstirrup@googlemail.com",
Description: Allows Brownian motion, fractional Brownian motion,
and integrated Ornstein-Uhlenbeck process components to
be added to linear and non-linear mixed effects models
using the structures and methods of the 'nlme' package.

Title: Covariance Estimation for Matrix Data with the Kronecker-Core
Description: Matrix-variate covariance estimation via the Kronecker-core decomposition. Computes the Kronecker and core covariance matrices corresponding to an arbitrary covariance matrix, and provides an empirical Bayes covariance estimator that adaptively shrinks towards the space of separable covariance matrices. For details, see Hoff, McCormack and Zhang (2022) <arXiv:2207.12484> "Core Shrinkage Covariance Estimation for Matrix-variate data".
person("Peter","Hoff",,"peter.hoff@duke.edu", role = c("aut", "cre"))