
tsibble - Tidy Temporal Data Frames and Tools
Provides a 'tbl_ts' class (the 'tsibble') for temporal data in an data- and model-oriented format. The 'tsibble' provides tools to easily manipulate and analyse temporal data, such as filling in time gaps and aggregating over calendar periods.
Last updated 1 months ago
14.47 score 538 stars 42 dependents 4.4k scripts 33k downloads
fable - Forecasting Models for Tidy Time Series
Provides a collection of commonly used univariate and multivariate time series forecasting models including automatically selected exponential smoothing (ETS) and autoregressive integrated moving average (ARIMA) models. These models work within the 'fable' framework provided by the 'fabletools' package, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse.
Last updated 3 months ago
forecastingcpp
13.52 score 565 stars 6 dependents 2.1k scripts 16k downloads
feasts - Feature Extraction and Statistics for Time Series
Provides a collection of features, decomposition methods, statistical summaries and graphics functions for the analysing tidy time series data. The package name 'feasts' is an acronym comprising of its key features: Feature Extraction And Statistics for Time Series.
Last updated 4 months ago
12.41 score 299 stars 7 dependents 1.4k scripts 14k downloadsfabletools - Core Tools for Packages in the 'fable' Framework
Provides tools, helpers and data structures for developing models and time series functions for 'fable' and extension packages. These tools support a consistent and tidy interface for time series modelling and analysis.
Last updated 1 months ago
12.18 score 91 stars 18 dependents 396 scripts 19k downloads
tsibbledata - Diverse Datasets for 'tsibble'
Provides diverse datasets in the 'tsibble' data structure. These datasets are useful for learning and demonstrating how tidy temporal data can tidied, visualised, and forecasted.
Last updated 4 months ago
datasettsibble
8.46 score 25 stars 2 dependents 740 scripts 10k downloads