Logo for nixtlar

TimeGPT is available in R through the nixtlar package, which is hosted on CRAN. This package mirrors much of the functionality provided by the Python version, and new features are continually being added. Originally developed for Python, TimeGPT is now brought to the R community by nixtlar, offering access to the first foundation model for time series forecasting. The core philosophy remains the same: the future is for everybody.

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Key Points

Package Name

nixtlar

Language

R

Repository

CRAN

Where to find the docs?
For detailed instructions on using nixtlar, refer to the official  documentation.

CRAN link
Access the nixtlar package page directly on CRAN via  this link.

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Getting Started

The steps below outline the basic process of installing and setting up nixtlar to work with TimeGPT.

1

Install nixtlar

From your R console or RStudio, run:

install-nixtlar
install.packages("nixtlar")
2

Load nixtlar

Load the package:

load-nixtlar
library(nixtlar)
3

Obtain API Key

You need an API key to use TimeGPT through nixtlar. Request your key from the Nixtla Dashboard.

4

Set Your API Key

After obtaining your API key, you can set it in your R environment as follows:

set-api-key
Sys.setenv(NIXTLA_API_KEY = "YOUR_API_KEY_HERE")

API Key Required
You must set your API key before using nixtlar and TimeGPT.

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Usage Overview

Once your API key is configured, you can call the various functions provided by nixtlar to forecast time series data. The syntax is designed to mirror the Python version, making it straightforward for anyone familiar with TimeGPT in Python.

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Support

If you have any questions or need assistance, please email  support@nixtla.io. We’re here to help!