finnts/DESCRIPTION at main · microsoft/finnts · GitHub

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Package: finnts
Title: Microsoft Finance Time Series Forecasting Framework
Version: 0.6.0.9056
Authors@R:
    c(person(given = "Mike",
           family = "Tokic",
           role = c("aut", "cre"),
           email = "mftokic@gmail.com",
           comment = c(ORCID = "0000-0002-7630-7055")),
      person(given = "Aadharsh",
           family = "Kannan",
           role = c("aut"),
           email = "akannan@microsoft.com",
           comment = c(ORCID = "0000-0002-6475-8211")))
Description: Automated time series forecasting developed by Microsoft Finance. The Microsoft Finance Time
    Series Forecasting Framework, aka Finn, can be used to forecast any component of the income
    statement, balance sheet, or any other area of interest by finance. Any numerical quantity over time,
    Finn can be used to forecast it. While it can be applied outside of the finance domain, Finn was built
    to meet the needs of financial analysts to better forecast their businesses within a company, and has
    a lot of built in features that are specific to the needs of financial forecasters. Happy forecasting!
URL: https://microsoft.github.io/finnts/, https://github.com/microsoft/finnts
BugReports: https://github.com/microsoft/finnts/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Remotes:
    Nixtla/nixtlar
Additional_repositories:
    https://bgreenwell.r-universe.dev
Imports:
    callr,
    cli,
    Cubist,
    dials (>= 1.3.0),
    digest,
    doParallel,
    dplyr,
    earth,
    feasts,
    foreach,
    forecast,
    fs,
    generics,
    glue,
    glmnet,
    gtools,
    httr,
    hts,
    jsonlite,
    kernlab,
    lubridate,
    magrittr,
    methods,
    nixtlar,
    parallel,
    parsnip,
    plyr,
    purrr,
    recipes,
    rlang,
    rsample,
    rules,
    snakecase,
    stringr,
    tibble,
    tidyr,
    tidyselect,
    timetk,
    tune,
    vroom,
    workflows
Suggests:
    arrow (>= 8.0.0),
    AzureStor,
    Boruta (>= 8.0.0),
    caret,
    corrr,
    ellmer (>= 0.4.0),
    energy,
    knitr,
    Microsoft365R,
    notebookutils,
    qs2,
    ranger,
    reactable,
    rmarkdown,
    sparklyr,
    testthat (>= 3.0.0),
    tseries,
    withr,
    xgboost,
    vip (>= 0.5.0)
Config/testthat/edition: 3
Depends:
    R (>= 4.0),
    modeltime
VignetteBuilder: knitr