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eDITH (version 1.0.0)

Model Transport of Environmental DNA in River Networks

Description

Runs the eDITH (environmental DNA Integrating Transport and Hydrology) model, which implements a mass balance of environmental DNA (eDNA) transport at a river network scale coupled with a species distribution model to obtain maps of species distribution. eDITH can work with both eDNA concentration (e.g., obtained via quantitative polymerase chain reaction) or metabarcoding (read count) data. Parameter estimation can be performed via Bayesian techniques (via the 'BayesianTools' package) or optimization algorithms. An interface to the 'DHARMa' package for posterior predictive checks is provided. See Carraro and Altermatt (2024) for a package introduction; Carraro et al. (2018) and Carraro et al. (2020) for methodological details.

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install.packages('eDITH')

Monthly Downloads

228

Version

1.0.0

License

MIT + file LICENSE

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Maintainer

Luca Carraro

Last Published

May 24th, 2024

Functions in eDITH (1.0.0)

run_eDITH_BT_joint

Run eDITH with BayesianTools based on joint eDNA and direct sampling data
dataCD

eDNA concentration and direct observation data
run_eDITH_optim

Optimize eDITH
outSample

Posterior sample from fitted eDITH model
eval_posterior_eDITH

Evaluate posterior predictions from an eDITH run
posterior_pred_sim_eDITH

Predictive posterior simulations from an eDITH run
run_eDITH_BT

Run eDITH with BayesianTools
run_eDITH_optim_joint

Optimize eDITH based on joint eDNA and direct sampling data
wigger

River Wigger
run_eDITH_single

Run eDITH for a single parameter set
eDITH-package

Model Transport of Environmental DNA In River Networks
dataC

eDNA concentration data
dataRead

eDNA read number data
sampling_strategy_eDNA

Determine optimal spatial arrangement for eDNA sampling
sampling_strategy_direct

Determine optimal spatial arrangement for direct sampling