dplyr, tidyr, lubridate, magrittr, httr, rlang, forecast,
lunar, usethis (>= 1.5.0), crayon, clisymbols, gh (>= 1.1.0)

c(person(given = c("Glenda", "M."),
family = "Yenni",
role = c("aut", "cre"),
email = "glenda@weecology.org",
comment = c(ORCID = "0000-0001-6969-1848")),
person(given = "Hao",
family = "Ye",
role = "aut",
comment = c(ORCID = "0000-0002-8630-1458")),
person(given = c("Erica", "M."),
family = "Christensen",
role = "aut",
comment = c(ORCID = "0000-0002-5635-2502")),
person(given = c("Juniper", "L."),
family = "Simonis",
role = "aut",
comment = c(ORCID = "0000-0001-9798-0460")),
person(given = c("Ellen", "K."),
family = "Bledsoe",
role = "aut",
comment = c(ORCID = "0000-0002-3629-7235")),
person(given = c("Renata", "M."),
family = "Diaz",
role = "aut",
comment = c(ORCID = "0000-0003-0803-4734")),
person(given = c("Shawn", "D."),
family = "Taylor",
role = "aut",
comment = c(ORCID = "0000-0002-6178-6903")),
person(given = c("Ethan", "P,"),
family = "White",
role = "aut",
comment = c(ORCID = "0000-0001-6728-7745")),
person(given = c("S.K.", "Morgan"),
family = "Ernest",
role = "aut",
comment = c(ORCID = "0000-0002-6026-8530")))
clipr, clisymbols, crayon, dplyr, forecast, gh (>= 1.1.0),
httr, lubridate, lunar, magrittr, rlang, tidyr, tidyselect (>=
1.0.0), zoo
covr, cowplot, ggplot2, httptest, knitr, pkgdown, rmarkdown,
testthat, usethis

Portmanteau Tests for ARMA, VARMA, ARCH, and FGN Models
This package contains a set of portmanteau diagnostic
checks for univariate and multivariate time series.

Portmanteau Tests for Time Series Models

Portmanteau Tests for Univariate and Multivariate Time Series
Models
fGarch, FitAR, FGN, TSA, vars, tseries, forecast, akima

Esam Mahdi, Ken Jinkun Xiao and A. Ian McLeod

Simulate a univariate/multivariate data from seasonal and nonseasonal time series models. It implements the well-known univariate and multivariate portmanteau test statistics based on the asymptotic distributions and the Monte-Carlo significance tests.
fGarch, fracdiff, FitAR, FGN, TSA, vars, tseries, forecast,
akima, gstat