CRAN/E | isotracer

isotracer

Isotopic Tracer Analysis Using MCMC

Installation

About

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.

Citation isotracer citation info
gitlab.com/matthieu-bruneaux/isotracer
System requirements GNU make
Bug report File report

Key Metrics

Version 1.1.5
R ≥ 3.6.0
Published 2023-09-21 217 days ago
Needs compilation? yes
License GPL-3
CRAN checks isotracer results

Downloads

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Maintainer

Maintainer

Matthieu Bruneaux

matthieu.bruneaux@gmail.com

Authors

Andrés López-Sepulcre

aut

Matthieu Bruneaux

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

Case study: Trinidadian streams (Collins et al. 2016)
Quick start
Handling replication
Setting steady-state compartments
Defining pulse or drip events
Including fixed effects of covariates
Units and priors
Prior predictive checks
MCMC output format
Post-run diagnostics and analyses
Posterior predictive checks
Calculating derived parameters
How to simulate experiments
Testing parameter identifiability

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

isotracer archive

Depends

R ≥ 3.6.0

Imports

coda ≥ 0.19-3
data.table
dplyr ≥ 0.8.5
latex2exp ≥0.4.0
magrittr
methods ≥ 3.6.0
pillar ≥ 1.4.3
purrr ≥ 0.3.3
Rcpp ≥ 1.0.4
rlang ≥ 0.4.5
rstan ≥2.26.0
rstantools
tibble ≥ 3.0.0
tidyr ≥ 1.0.2
tidyselect ≥ 1.0.0

Suggests

bayesplot
covr
cowplot
ggdist
ggplot2
ggraph
gridBase
gridExtra
here
igraph
knitr
lattice
readxl
rmarkdown
testthat
tidygraph
tidyverse
viridisLite

LinkingTo

BH ≥ 1.72.0
Rcpp ≥ 1.0.4
RcppEigen ≥ 0.3.3.7.0
StanHeaders ≥ 2.26.0
rstan ≥ 2.26.0
RcppParallel