R Observatory: Metrics for fingerPro version 2.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

fingerPro

2.1

Unmixing Model Framework

0packages depend

4.1Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Borja Latorre (Core Team)First published 2018-02-204 releasesCRAN page ↗GitHub ↗

Quantifies the provenance of sediments by applying a mixing model algorithm to end sediment mixtures based on a comprehensive characterization of the sediment sources. The 'fingerPro' model builds upon the foundational concept of using mass balance linear equations for sediment source quantification by incorporating several distinct technical advancements. It employs an optimization approach to normalize discrepancies in tracer ranges and minimize the objective function. Latin hypercube sampling is used to explore all possible combinations of source contributions (0-100%), mitigating the risk of local minima. Uncertainty in source estimates is quantified through a Monte Carlo routine, and the model includes additional metrics, such as the normalized error of the virtual mixture, to detect mathematical inconsistencies, non-physical solutions, and biases. A new linear variability propagation (LVP) method is also included to address and quantify potential bias in model outcomes, particularly when dealing with dominant or non-contributing sources and high source variability, offering a significant advancement for field studies where direct comparison with theoretical apportionments is not feasible. In addition to the unmixing model, a complete framework for tracer selection is included. Several methods are implemented to evaluate tracer behaviour by considering both source and mixture information. These include the Consistent Tracer Selection (CTS) method to explore all tracer combinations and select the optimal ones improving the robustness and interpretability of the model results. A Conservative Balance (CB) method is also incorporated to enable the use of isotopic tracers. The package also provides several graphical tools to support data exploration and interpretation, including box plots, correlation plots, Linear Discriminant Analysis (LDA) and Principal Component Analysis (PCA).

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)

install.packages("fingerPro", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("eead-csic-eesa/fingerPro")

Development version from eead-csic-eesa/fingerPro. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-fingerpro

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-fingerPro

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

Health

CRAN checks

13OK

Slowest check: 13.1 min · r-release-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

16

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-17
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 5 earlier snapshots

ERROR2026-04-17
12 OK · 1 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-04-16
13 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-09
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 224 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 69%
References docs: 18%

Downloads

4.1K

CRAN downloads in the past year

Rank #6,461 · ~11/day · ~344/mo

Releases R versions

Daily download trend is not available in this view yet.

23630 days

1.3K90 days

4.1K1 year

Compare downloads with other packages →

Also on475 r2u

Repository

GitHub ↗ eead-csic-eesa/fingerpro

15Stars

3Forks

0Open issues

0Open PRs

4Releases

95Commits

3Contributors

License GPL-2.0 · 95 commits · Last activity 2025-12-19 · 0% stars, 30d

Stars over time

2025-07-17 · 112026-07-07 · 15

Repository practices

Upstream repositoryBeta

Checks run against github.com/eead-csic-eesa/fingerpro on 2026-08-09.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (16)

Rcpp klaR ggplot2 GGally plyrMASSreshape (>= 0.8.7)gridgridExtra scales car RcppProgress Ternary dplyr crayon plotly

LinkingTo (3)

Rcpp RcppGSL RcppProgress

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (6)

Maintainer (1)

Borja Latorre (Core Team)

Author, Maintainer · added in 2.1

Authors (5)

Borja Latorre (Core Team)

Author, Maintainer · added in 2.1

Ana Navas (Core Team)

Author, Funder, Thesis advisor · added in 2.1

Ivan Lizaga

Author · added in 2.1

Leticia Gaspar (Core Team)

Author · added in 2.1

Leticia Palazon

Author · added in 2.1

Contributors (1)

Vince Q Vu

Contributor · added in 2.1

Funders (1)

Ana Navas (Core Team)

Author, Funder, Thesis advisor · added in 2.1

Listed in earlier versions (3)

Leticia Gaspar

no longer listed · 1.0 to 2.0

Borja Latorre

no longer listed · 1.0 to 2.0

Ana Navas

no longer listed · 1.0 to 2.0

Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
2.1Latest
2026-04-15 · current release · diff ↗
2.0
2025-08-27 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.1
2018-08-28 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.0
2018-02-20
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2018-02-20
Total releases: 4 / 8 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.5
Download size: 70 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fingerPro")

Format

Borja Latorre (Core Team), Ana Navas (Core Team), Ivan Lizaga, Leticia Gaspar (Core Team), Leticia Palazon, & Vince Q Vu. (2026). fingerPro: Unmixing Model Framework (Version 2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.fingerPro

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for fingerPro version 2.1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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