Skip to content

mlr3spatiotempcv

2.3.5Package record

Spatiotemporal Resampling Methods for 'mlr3'

0packages dependsuggested by 1
37.1Kdownloads / year
36.2%test coverage
13/13flavors OK

Overview

About

Extends the mlr3 machine learning framework with spatio-temporal resampling methods to account for the presence of spatiotemporal autocorrelation (STAC) in predictor variables. STAC may cause highly biased performance estimates in cross-validation if ignored. A JSS article is available at doi:10.18637/jss.v111.i07.

Changes in 2.3.5

Bug fixes

  • require at least two folds for partitioning resamplings (#253, #258).
  • fix an error that prevented spcv_knndm to work properly in nested resampling (#249, #250).

chore

  • Use ``load_dataset for tasks (#254).

Testing

  • Update tests for blockCV 4.0 (drop spatialBlock) (#255, #256).

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 7.8 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.3.5
READMEYes · 499 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 2.3.5Citation fileYes · cites a publicationWebsiteYes · pkgdown
Cites a JSS article
Help pages
37 (4 internal)includes a package overview page
Examples that run
39%11 run in a plain check (1 of them under a condition) · 16 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
Exported functions with examples
90%
Documented parameters
50%
Return-value docs
10%
Help pages citing references
51%

Downloads

37.1K
CRAN downloads in the past year
Rank #2,486 · ~102/day · ~3.1K/mo
Daily download trend is not available in this view yet.
2.1K30 days
6.6K90 days
37.1K1 year
Compare downloads with other packages →
Also on162 r2u7 autocran101 c2d4u

Repository

56Stars
12Forks
6Open issues
1Open PRs
22Releases
1,125Commits
13Commit identities
mlr3resamplingspatialcross-validationtemporalresampling-methodsrr-package
License file reads as LGPL-3.0 · 1,125 commits · Last activity 2026-08-03 · 0% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
90%
Median days to close, 50 most recently updated closed issues
26
Median days to close, 50 most recently updated closed PRs
1

Stars over time

2025-09-14 · 542026-08-23 · 56
PracticesBeta

14 development-tooling and community-health practices detected across 8 families in the upstream repository

Checks run against github.com/mlr-org/mlr3spatiotempcv on 2026-10-25.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, and on R-devel

Governance and community (3)
Contributing guide (inherited from mlr-org)

Funding links: GitHub Sponsors

The repository owner accepts GitHub Sponsors

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-08-03 · The repository has a site deploy workflow

pkgdown site last built 2026-08-03

Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 4 practices
CRAN release process (1)
cran-comments.md
Research and citation (1)
codemeta.json
Automation and maintenance (1)
pre-commit
Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
30 external dependencies (excludes base and recommended)

Installing mlr3spatiotempcv adds 38 packages (16 with compiled code, 28 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, palmerpenguins 2.9 MB.

Depends (2)
R >= 3.5.0mlr3
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (4)
Author, Maintainer since 0.1.0 (2020)
Contributor
Contributor
Releases (21)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • unarchivedReturned to CRAN
    2025-09-12
  • 2.3.5Latest
    record
    2025-09-12 · current release · diff ↗
  • 2.3.4
    record
    2025-09-12 · diff ↗
  • archivedRemoved from CRAN
    2025-08-25
    errors were not corrected in time
  • 2.3.3
    record
    2025-07-10 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 2.3.2
    record
    2024-11-29 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 2.3.1
    record
    2024-04-17 · diff ↗
  • 2.3.0
    record
    2024-01-22 · diff ↗
  • 2.2.0
    record
    2023-10-24 · diff ↗ ·
    added 2 exports
    ResamplingRepeatedSpCVKnndm, ResamplingSpCVKnndm
  • 2.1.0
    record
    2023-05-24 · diff ↗ ·
    removed 2 exports
    ResamplingRepeatedSptCVCluto, ResamplingSptCVCluto
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2022-11-19
  • 2.0.3
    record
    2022-11-19 · diff ↗
Show 18 earlier eventsHide 18 earlier events
  • archivedRemoved from CRAN
    2022-10-17
    issues were not corrected in time
  • 2.0.2
    record
    2022-08-09 · diff ↗
  • 2.0.1
    record
    2022-06-22 · diff ↗
  • 2.0.0
    record
    2022-06-14 · diff ↗ ·
    added 9 exports
    as_task_classif_st.DataBackend, as_task_classif_st.TaskClassifST, as_task_classif_st.data.frame, as_task_classif_st.sf, as_task_regr_st.DataBackend, as_task_regr_st.TaskClassifST, as_task_regr_st.TaskRegrST, as_task_regr_st.data.frame, as_task_regr_st.sf
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.1
    record
    2022-03-03 · diff ↗
  • 1.0.0
    record
    2021-08-19 · diff ↗
  • 0.4.1
    record
    2021-06-23 · diff ↗
  • 0.4.0
    record
    2021-06-03 · diff ↗ ·
    added 6 exports
    ResamplingRepeatedSpCVDisc, ResamplingRepeatedSpCVTiles, ResamplingSpCVDisc, ResamplingSpCVTiles, as_task_classif_st, as_task_regr_st
  • R
    R 4.1.0 released · 2021-05-18
  • unarchivedReturned to CRAN
    2021-04-13
  • 0.3.0
    record
    2021-04-13 · diff ↗
  • archivedRemoved from CRAN
    2021-04-04
    check problems were not corrected in time
  • 0.2.1
    record
    2021-03-20 · diff ↗
  • 0.2.0
    record
    2021-03-08 · diff ↗
  • 0.1.1
    record
    2021-01-05 · diff ↗
  • 0.1.0
    record
    2020-11-11
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-11-11
Total releases
21 / 6 yrs
License
LGPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
845 KB / 3 files
Download size
3.3 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("mlr3spatiotempcv")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v111.i07.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mlr3spatiotempcv version 2.3.5 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy