person(c("Ethan", "P,"), "White", role = c("aut"),
can be found at <https://github.com/weecology/portaldata>.
Suggests: httptest, digest, tidyverse, cowplot, knitr, rmarkdown,
Packaged: 2019-01-23 19:54:53 UTC; GlendaYenni

Packaged: 2019-02-20 18:43:25 UTC; GlendaYenni

Imports: dplyr, tidyr, lubridate, magrittr, httr, rlang, forecast,
lunar, jsonlite, tibble, usethis (>= 1.5.0), crayon, clisymbols
Suggests: httptest, tidyverse, cowplot, knitr, rmarkdown, pkgdown,
Packaged: 2019-06-22 00:49:08 UTC; GlendaYenni

Packaged: 2019-07-10 16:08:32 UTC; GlendaYenni

Packaged: 2019-10-04 20:35:38 UTC; GlendaYenni

lunar, tibble, usethis (>= 1.5.0), crayon, clisymbols, gh
Suggests: httptest, cowplot, knitr, rmarkdown, pkgdown, covr, ggplot2,
Packaged: 2020-01-09 04:37:35 UTC; GlendaYenni

Packaged: 2020-01-15 22:46:04 UTC; GlendaYenni

Description: Download and generate summaries for the rodent,
plant, ant, and weather data from the Portal Project. Portal is a
long-term (and ongoing) experimental monitoring site in the Chihuahua
desert. The raw data files can be found at
Imports: clipr, clisymbols, crayon, dplyr, forecast, httr, lubridate,
lunar, magrittr, rlang, tidyr, tidyselect (>= 1.0.0), zoo
Suggests: covr, cowplot, ggplot2, httptest, knitr, pkgdown, rmarkdown,
Packaged: 2022-07-14 05:35:39 UTC; GlendaYenni

lunar, usethis (>= 1.5.0), crayon, clisymbols, gh (>= 1.1.0)
Packaged: 2020-04-01 21:58:43 UTC; GlendaYenni

Imports: clipr, clisymbols, crayon, dplyr, forecast, gh (>= 1.1.0),
httr, lubridate, lunar, magrittr, rlang, tidyr, tidyselect (>=
Packaged: 2020-04-27 22:06:37 UTC; GlendaYenni

Packaged: 2020-08-26 19:18:43 UTC; GlendaYenni

Packaged: 2020-11-23 17:18:18 UTC; GlendaYenni

Packaged: 2021-01-27 21:39:09 UTC; GlendaYenni

Packaged: 2021-05-23 01:53:31 UTC; GlendaYenni

Packaged: 2021-12-03 00:15:12 UTC; GlendaYenni

Title: Portmanteau Tests for ARMA, VARMA, ARCH, and FGN Models
Maintainer: A. Ian McLeod <aim@stats.uwo.ca>
Description: This package contains a set of portmanteau diagnostic
checks for univariate and multivariate time series.