Isotopic Tracer Analysis Using MCMC
Add fixed effects of one or several covariates to some parameters.
Register a pulse event on one of the compartment of a topology
Generic for as_tbl_graph()
Convert a network topology to a tbl_graph
Convert a tidy_flows object to an mcmc.list
Convert a tidy_steady_states object to an mcmc.list
List the available priors for model parameters
Combine mcmc.list objects
Calculate steady-state compartment sizes for a network
Return the compartments of a network model
Define a fixed-value prior
Convert delta notation to proportion of heavy isotope
Calculate DIC from a model output
Define an exponential prior
Filter a tibble based on the "group" column
Filter method for output of tidy_data_and_posterior_predict()
Filter (alias for filter function from dplyr)
Pretty formatting of a prior_tibble object
Pretty formatting of a prior object
Define a gamma prior
A quick-and-dirty way of visualizing relative flows in a network
Plot a network topology
Plot a topology
Plot a topology
Get the grouping for a networkModel object
Define a half-Cauchy prior (on [0;+Inf])
The 'isotracer' package
Math generics for mcmc.list objects
Draw a heatmap based on the correlations between parameters
Get a table with parameters which are missing priors
Create an empty network model
Define a truncated normal prior (on [0;+Inf])
Function used for displaying prior object in tibbles
Ops generics for mcmc.list objects
Implementation of the '==' operator for priors
Ops generics for topology objects
Return the parameters of a network model
Function used for displaying prior object in tibbles
Plot observations/trajectories/predictions from a network model
Plot output from split_to_unit_plot
Draw from the posterior predictive distribution of the model outcome
Draw from the posterior predictive distribution of the model outcome
Add a column with predictions from a fit
Print method for networkModel objects
Pretty printing of a prior_tibble object
Pretty printing of a prior object
Pretty printing of a topology object
Return the tibble containing the priors of a networkModel
Calculate the trajectories of a network model
Return the distribution family for observed proportions
Convert isotopic proportions to delta values
Draw a Sankey plot with basic defaults
Objects exported from other packages
Run a MCMC sampler on a network model using Stan
Sample from a prior object
Generate samples from a network model
Sample parameter values from priors
Draw a Sankey plot for a network and estimated flows
Define a beta prior (on [0;scale])
Select parameters based on their names
Set the half-life for radioactive tracers
Set initial conditions in a network model
Set observations in a network model
Set the parameters in a network model
Set prior(s) for a network model
Set the distribution family for observed proportions
Set the distribution family for observed sizes
Flag some network compartments as being split compartments
Flag some network compartments as being in a steady state
Set the topology in a network model.
Return the distribution family for observed sizes
Convert a Stanfit object to a nicely named mcmc.list object
Subset method for networkModelStanfit objects
Extract data from a networkModel object into a tidy tibble.
Prepare tidy data and posterior predictions
Build a tidy table with the flows for each iteration
Extract a tidy output from an mcmc.list
Draw from the posterior predictive distribution of the model outcome
Build a tidy table with the calculated steady states for each iteratio...
Build a tidy table with the trajectories for each iteration
Return the list of topologies, or a unique topology if all identical
Plot mcmc.list objects
Function used for displaying prior object in tibbles
Define a uniform prior
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>.
Useful links