Installation | Example | Data preparation | Split data into training and testing | Training and forecasting | Visualize rolling forecasts | Forecast accuracy | Forecast accuracy by forecast horizon | Forecast accuracy by split | Summary
Package: tscv 1.0.0
tscv: Functions and Utilities for Tidy Time Series Forecasting and Time Series Cross-Validation
Functions and tools for tidy time series analysis and forecasting as well as time series cross-validation. This is mainly a set of wrapper and helper functions as well as some extensions for the packages 'tsibble', 'fable', and 'fabletools'.
Authors:
tscv_1.0.0.tar.gz
tscv_1.0.0.zip(r-4.7)tscv_1.0.0.zip(r-4.6)tscv_1.0.0.zip(r-4.5)
tscv_1.0.0.tgz(r-4.6-any)tscv_1.0.0.tgz(r-4.5-any)
tscv_1.0.0.tar.gz(r-4.7-any)tscv_1.0.0.tar.gz(r-4.6-any)
tscv_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tscv/json (API)
| # Install 'tscv' in R: |
| install.packages('tscv', repos = c('https://ahaeusser.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ahaeusser/tscv/issues
Pkgdown/docs site:https://ahaeusser.github.io
Datasets:
- elec_load - Hourly electricity load
- elec_price - Hourly day-ahead electricity spot prices
- M4_monthly_data - Monthly time series data from the M4 Competition
- M4_quarterly_data - Quarterly time series data from the M4 Competition
cross-validationexploratory-data-analysisfablefabletoolsforecast-accuracyforecastingggplot2time-seriestscvtsibblevisualization
Last updated from:2dd2e0c297. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 254 | ||
| source / vignettes | OK | 348 | ||
| linux-release-x86_64 | OK | 260 | ||
| macos-release-arm64 | OK | 141 | ||
| macos-oldrel-arm64 | OK | 181 | ||
| windows-devel | OK | 198 | ||
| windows-release | OK | 191 | ||
| windows-oldrel | OK | 186 | ||
| wasm-release | OK | 150 |
Exports:acf_veccheck_dataDSHWestimate_acfestimate_kurtosisestimate_modeestimate_pacfestimate_skewnessinterpolate_missingmae_vecmake_accuracymake_errorsmake_futuremake_splitmake_tsibblemape_vecme_vecMEDIANmpe_vecmse_vecpacf_vecplot_barplot_densityplot_histogramplot_lineplot_pointplot_qqrmse_vecscale_color_tscvscale_fill_tscvslice_testslice_trainsmape_vecSMEANSMEDIANsmooth_outlierSNAIVE2split_indexsummarise_datasummarise_splitsummarise_statsTBATStheme_tscvtscv_colstscv_pal
Dependencies:anytimeBHbitopscaToolsclicodetoolscolorspacecpp11DEoptimRdigestdistributionaldoParalleldplyrfabletoolsfarverforeachforecastfracdiffgenericsggdistggplot2gluegtableisobanditeratorsjaneaustenrlabelinglatticelifecyclelmtestlubridatemagrittrMASSMatrixnlmennetnumDerivopdisDownsamplingpbmcapplypillarpkgconfigpracmaprogressrpurrrqqconfqqplotrquadprogR6RColorBrewerRcppRcppArmadillorlangrobustbaseS7scalessliderSnowballCstringistringrtibbletidyrtidyselecttidytexttimechangetimeDatetokenizerstsibbletwosamplesurcautf8vctrsviridisLitewarpwithrzoo
Expanding window approach
Last update: 2026-05-15
Started: 2026-04-27
Fixed window approach
Installation | Example | Data preparation | Split data into training and testing | Training and forecasting | Evaluation of forecast accuracy | Forecast accuracy by forecast horizon | Forecast accuracy by split | Summary
Last update: 2026-05-15
Started: 2026-04-27
Visualization of time series data
Installation | Example | Data preparation | Line charts | Bar charts | Distributions | Histograms | Density | QQ-Plot | Summary
Last update: 2026-05-15
Started: 2021-04-23
