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HRRI: Diagnostics for Soil-Plant-Microbial Redox Recovery

Provides diagnostic functions for integrating longitudinal soil, plant and microbial observations during redox disturbance and recovery. Functions calculate stoichiometric potential oxygen demand, accessible electron capacity from explicitly supplied inventories and kinetic parameters, recovery signatures, fixed-reference domain scores, and exploratory multiblock scores with observation-coverage diagnostics. Memory is represented as a holobiont state accumulating from mineralogical, plant-acclimation and microbial-community legacies. An illustrative simulator produces closed Fe and Mn inventories alongside synthetic observations; its carbon, nitrogen, sulfur and oxygen budgets are not closed and its parameters are not calibrated to field rates. Simulation benchmarks assess agreement with a prescribed synthetic target and do not constitute empirical validation or parameter identification. Accuracy assessment is cluster-aware: intervals come from resampling whole trajectories, agreement is reported as Lin's concordance coefficient alongside correlation, and mean squared error is partitioned into bias, variance mismatch and lack of correlation. The measured quantities follow Sander, Hofstetter and Gorski (2015) <doi:10.1021/acs.est.5b00006> for mediated electrochemical determination of electron-accepting and electron-donating capacity, Kluepfel, Piepenbrock, Kappler and Sander (2014) <doi:10.1038/ngeo2084> for regeneration of electron-accepting capacity across repeated anoxic periods, Thompson, Chadwick, Rancourt and Chorover (2006) <doi:10.1016/j.gca.2005.12.005> for the increase in iron-oxide crystallinity under redox oscillation, and Keiluweit, Wanzek, Kleber, Nico and Fendorf (2017) <doi:10.1038/s41467-017-01406-6> for anaerobic microsites in otherwise aerobic soil. Agreement statistics follow Lin (1989) <doi:10.2307/2532051> and Kobayashi and Salam (2000) <doi:10.2134/agronj2000.922345x>.

Version: 1.0.6
Depends: R (≥ 4.3.0)
Imports: ggplot2 (≥ 3.4.0), graphics, grid, igraph (≥ 1.5.0), rlang (≥ 1.1.0), stats, utils, tidyr, tidyselect
Suggests: ggtern (≥ 3.4.0), knitr, patchwork (≥ 1.2.0), psych, rmarkdown, testthat (≥ 3.0.0), viridis
Published: 2026-09-23
DOI: 10.32614/CRAN.package.HRRI (may not be active yet)
Author: Mitra Ghotbi ORCID iD [aut, cre], Marjan Ghotbi ORCID iD [ctb]
Maintainer: Mitra Ghotbi <mitra.ghotbi at gmail.com>
BugReports: https://github.com/mghotbi/HRRI/issues
License: MIT + file LICENSE
URL: https://github.com/mghotbi/HRRI, https://mghotbi.github.io/HRRI/
NeedsCompilation: no
Citation: HRRI citation info
Materials: README, NEWS
CRAN checks: HRRI results

Documentation:

Reference manual: HRRI.html , HRRI.pdf
Vignettes: HRRI: Reading the Figures — A Worked Example (source, R code)
HRRI: Holobiont Redox Resilience Index — End-to-End Workflow (source, R code)

Downloads:

Package source: HRRI_1.0.6.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=HRRI to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.