broom, checkmate (>= 2.1.0), data.table, generics, glue,
insight (>= 0.18.7), kableExtra (>= 1.2.1), parameters (>=
0.19.0), performance (>= 0.10.0), tables (>= 0.9.10)
betareg, bookdown, broom.mixed, clubSandwich, covr, digest,
DT, estimatr, fixest (> 0.10.3), flextable, future,
future.apply, gamlss, ggplot2, gt (>= 0.3.0), haven, huxtable,
IRdisplay, knitr, lfe, lme4, lmtest, magick, marginaleffects,
MASS, mgcv, mice, nlme, nnet, officer, openxlsx, parallel,
pscl, rmarkdown, sandwich, spelling, survey, testthat, tibble,
tidyselect, vdiffr

Testing Infrastructure for Broom Model Generics
Provides a number of testthat tests that can be
used to verify that tidy(), glance() and augment() methods meet
consistent specifications. This allows methods for the same generic
to be spread across multiple packages, since all of those packages
can make the same guarantees to users about returned objects.

c(person(given = "Alex",
family = "Hayes",
role = c("aut", "cre"),
email = "alexpghayes@gmail.com",
comment = c(ORCID = "0000-0002-4985-5160")),
person(given = "Simon",
family = "Couch",
role = "ctb",
email = "simonpatrickcouch@gmail.com"))
Provides a number of testthat tests that can be
used to verify that tidy(), glance() and augment() methods meet
consistent specifications. This allows methods for the same generic to
be spread across multiple packages, since all of those packages can
make the same guarantees to users about returned objects.
Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>),
Simon Couch [ctb]

c(person(given = "Alex",
family = "Hayes",
role = c("aut", "cre"),
email = "alexpghayes@gmail.com",
comment = c(ORCID = "0000-0002-4985-5160")),
person(given = "Simon",
family = "Couch",
role = "aut",
email = "simonpatrickcouch@gmail.com"))
Alex Hayes [aut, cre] (<https://orcid.org/0000-0002-4985-5160>),
Simon Couch [aut]

The Tidymodels Extension for Time Series Modeling
c(
person("Matt", "Dancho", email = "mdancho@business-science.io", role = c("aut", "cre")),
person("Business Science", role = "cph"))
The time series forecasting framework for use with the 'tidymodels' ecosystem.
Models include ARIMA, Exponential Smoothing, and additional time series models
from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition"
(<https://otexts.com/fpp2/>).
Refer to "Prophet: forecasting at scale"
(<https://research.fb.com/blog/2017/02/prophet-forecasting-at-scale/>.).
timetk (>= 2.0.0), parsnip (>= 0.1.0), dials, yardstick,
workflows, hardhat, rlang (>= 0.1.2), glue, plotly, reactable,
gt, ggplot2, tibble, tidyr, dplyr, purrr, stringr, forcats,
scales, janitor, progressr, magrittr, forecast, xgboost,
prophet
recipes, rsample, tune, tidyverse, lubridate, testthat,
roxygen2, kernlab, earth, randomForest, tidyquant, knitr,
rmarkdown
Matt Dancho [aut, cre],
Business Science [cph]