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GeoVersa

0.3.0Package record

Design-Based Residual-Correction Forests for Digital Soil Mapping

0packages depend
896downloads / year
50.9%test coverage
13/13flavors OK

Overview

About

Implements DB-TARF (Design-Based Targeted Adaptive Residual Forest) for large-scale digital soil and ecological mapping evaluated under the design-based paradigm of Wadoux et al. (2021) doi:10.1016/j.ecolmodel.2021.109692. A random forest is augmented by a cross-fitted, out-of-fold-selected residual correction (residual forests, ordinary kriging, recalibration), together with design-based conformal prediction intervals.

Install

Health

CRAN checks
13OK
Slowest check: 1.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK7 OK2026-07-07
Advisories

none known

Documentation

In release 0.3.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
1
Examples that run
100%1 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

896
CRAN downloads in the past year
Rank #15,862 · ~2/day · ~75/mo
Daily download trend is not available in this view yet.
29030 days
77490 days
8961 year
Compare downloads with other packages →
Also on22 r2u

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing GeoVersa adds 65 packages (36 with compiled code, 50 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)
none
Imports (4)
LinkingTo (0)
none
Suggests (5)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.3.0 (2026)
Releases (1)
  • 0.3.0Latest
    2026-07-06 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-06
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
21 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GeoVersa")
Rodrigues, H. (2026). GeoVersa: Design-Based Residual-Correction Forests for Digital Soil Mapping (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.GeoVersa

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 GeoVersa version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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