isotracer
Isotopic Tracer Analysis Using MCMC
Implements Bayesian models to analyze data from tracer addition experiments. The implemented method was originally described in the article "A New Method to Reconstruct Quantitative Food Webs and Nutrient Flows from Isotope Tracer Addition Experiments" by López-Sepulcre et al. (2020) doi:10.1086/708546.
- Version1.1.7
- R version≥ 3.6.0
- LicenseGPL-3
- Needs compilation?Yes
- isotracer citation info
- Last release11/05/2024
Documentation
- VignetteCase study: Trinidadian streams (Collins et al. 2016)
- VignetteQuick start
- VignetteHandling replication
- VignetteSetting steady-state compartments
- VignetteDefining pulse or drip events
- VignetteIncluding fixed effects of covariates
- VignetteUnits and priors
- VignettePrior predictive checks
- VignetteMCMC output format
- VignettePost-run diagnostics and analyses
- VignettePosterior predictive checks
- VignetteCalculating derived parameters
- VignetteHow to simulate experiments
- VignetteTesting parameter identifiability
- MaterialREADME
- MaterialNEWS
Team
Matthieu Bruneaux
Andrés López-Sepulcre
Insights
Last 30 days
This package has been downloaded 544 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 8,687 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was May 19, 2024 with 84 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports14 packages
- Suggests17 packages
- Linking To6 packages