c(person(given = "Yufei",
family = "Zhao",
role = c("aut", "cre"),
email = "fay.zz0213@gmail.com",
comment = c(ORCID = "0000-0002-6511-8507")),
person(given = "Daniel",
family = "Anderson",
role = c("ctb"),
email = "daniela@uoregon.edu",
comment = c(ORCID = "https://orcid.org/0000-0003-4699-4680")))

Ethan Schoonover's solarized colour scheme for R
(http://ethanschoonover.com/solarized)

Parallel functions for computing rolling statistics of time-series
data.

Fast and efficient computation of rolling statistics for time-series data.

Fast and efficient computation of rolling and expanding statistics for time-series data.

Fast Rolling and Expanding Window Linear Regression
person("Benjamin", "Christoffersen",
email = "boennecd@gmail.com",
role = c("cre", "aut"))
Methods for fast rolling and expanding linear regression models. That is, series of linear regression models estimated on either an expanding window of data or a moving window of data. The methods use rank-one updates and downdates of the upper triangular matrix from a QR decomposition (see J. J. Dongarra, C. B. Moler, J. R. Bunch, and G. W. Stewart (1979) <doi:10.1137/1.9781611971811>).
Jack Dongarra, Jim Bunch, Cleve Moler, and Gilbert Stewart
due to the LINPACK routines `dchdd` and `dchud`.
knitr, rmarkdown, testthat, zoo, roll, microbenchmark,
RcppParallel

Methods for fast rolling and expanding linear regression models. That is, series of linear regression models estimated on either an expanding window of data or a moving window of data. The methods use rank-one updates and downdates of the upper triangular matrix from a QR decomposition (see Dongarra, Moler, Bunch, and Stewart (1979) <doi:10.1137/1.9781611971811>).

c(person("Benjamin", "Christoffersen",
email = "boennecd@gmail.com",
role = c("cre", "aut")),
person("Madeleine", "Thompson", role = "cph"))
(c) 2018-2019 Benjamin Christoffersen, except dchud.f and
dchdd.f. They are originally from LINPACK and are in the public
domain in the United States. They are modified by Madeleine
Thompson.
Benjamin Christoffersen [cre, aut],
Madeleine Thompson [cph]