nixtlar: A Software Development Kit for 'Nixtla”s 'TimeGPT' (original) (raw)
A Software Development Kit for working with 'Nixtla”s 'TimeGPT', a foundation model for time series forecasting. 'API' is an acronym for 'application programming interface'; this package allows users to interact with 'TimeGPT' via the 'API'. You can set and validate 'API' keys and generate forecasts via 'API' calls. It is compatible with 'tsibble' and base R. For more details visit <https://docs.nixtla.io/>.
| Version: | 0.6.2 |
|---|---|
| Depends: | R (≥ 2.10) |
| Imports: | dplyr, future, future.apply, ggplot2, httr2, lubridate, purrr, rlang, tidyr, tidyselect |
| Suggests: | httptest2, knitr, rmarkdown, testthat (≥ 3.0.0), usethis |
| Published: | 2024-10-28 |
| DOI: | 10.32614/CRAN.package.nixtlar |
| Author: | Mariana Menchero [aut, cre] (First author and maintainer), Nixtla [cph] (Copyright held by 'Nixtla') |
| Maintainer: | Mariana Menchero |
| BugReports: | https://github.com/Nixtla/nixtlar/issues |
| License: | Apache License (≥ 2.0) |
| URL: | https://nixtla.github.io/nixtlar/, https://docs.nixtla.io/,https://github.com/Nixtla/nixtlar |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| In views: | TimeSeries |
| CRAN checks: | nixtlar results |
Documentation:
| Reference manual: | nixtlar.html , <nixtlar.pdf> |
|---|---|
| Vignettes: | Anomaly Detection (source, R code) Azure Quickstart (source, R code) Cross-Validation (source, R code) Data Requirements (source, R code) Exogenous Variables (source, R code) Get Started (source, R code) Historical Forecast (source, R code) Long-Horizon Forecasting (source, R code) Prediction Intervals (source, R code) Quantile Forecasts (source, R code) Setting Up Your API Key (source, R code) Special Topics (source, R code) |
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