Resampling Tools for Time Series Forecasting
A 'modeltime' extension that implements forecast resampling tools
that assess time-based model performance and stability for a single time series,
panel data, and cross-sectional time series analysis.
tune, rsample, workflows, parsnip (>= 0.1.4), recipes, dials,
yardstick, timetk (>= 2.5.0), tibble, dplyr, tidyr, purrr,
forcats, glue, stringr, ggplot2, plotly, cli, crayon, magrittr,
rlang (>= 0.1.2), progressr, tictoc
roxygen2, testthat, tidymodels, tidyverse, tidyquant, glmnet,
lubridate, knitr, rmarkdown, covr, remotes

tune, rsample, workflows, parsnip (>= 0.1.4), recipes, dials,
yardstick, timetk (>= 2.5.0), tibble, dplyr, tidyr, purrr,
forcats, glue, stringr, ggplot2, plotly, cli, crayon, magrittr,
rlang (>= 0.1.2), progressr, tictoc, hardhat

Tools and Classes for Statistical Models
A collection of tools to deal with statistical models.
The functionality is experimental and the user interface is likely to
change in the future. The documentation is rather terse, but packages `coin'
and `party' have some working examples. However, if you find the
implemented ideas interesting we would be very interested in a discussion
of this proposal. Contributions are more than welcome!

Torsten Hothorn, Friedrich Leisch, Achim Zeileis

A collection of tools to deal with statistical models. The
functionality is experimental and the user interface is likely
to change in the future. The documentation is rather terse, but
packages `coin' and `party' have some working examples.
However, if you find the implemented ideas interesting we would
be very interested in a discussion of this proposal.
Contributions are more than welcome!

A collection of tools to deal with statistical models.
The functionality is experimental and the user interface is
likely to change in the future. The documentation is rather
terse, but packages `coin' and `party' have some working
examples. However, if you find the implemented ideas
interesting we would be very interested in a discussion of this
proposal. Contributions are more than welcome!