isotracer 1.1.3 (2022-03-25)

Minor change for resubmission to CRAN

• We were warned that one of the isotracer calls to a tidygraph function was triggering a fatal error when checking the isotracer package with the environmental variable “R_CHECK_LENGTH_1_LOGIC2” set to “abort,verbose”. We modified one of isotracer’s functions to avoid using the tidygraph code path that was triggering this error.

(This error message was related to the NEWS for R-devel: “Calling && or || with either argument of length greater than one now gives a warning (which it is intended will become an error)”.)

isotracer 1.1.2 (2022-02-16)

Minor changes for resubmission to CRAN

• Add a random seed before some stochastic tests to ensure that the tests do not fail randomly from time to time.
• Drop dependency on rstantools for package users.

isotracer 1.1.0 (2021-12-19)

Major changes

• Implement a Stan model using matrix exponentials instead of the forward Euler method to solve the ODEs involved in a network model.
• Add a method argument to run_mcmc() to choose between matrix_exp (the default) and euler solvers.
• Drop the use of default priors (users must now explicitly set the priors). The documentation was also updated to provide more guidance about prior choice.
• Implement exponential and gamma priors.
• Change all names for prior functions from *() to *_p() to avoid collision with other R functions.
• Change the default output of params() to a tibble, for consistency with priors().

Other improvements

• Add a euler_control argument to run_mcmc() to be able to tune the fixed time step parameter of the Euler solver.
• Add a function stanfit_to_named_mcmclist() for easier manipulation of the output of run_mcmc() when a stanfit object is returned with stanfit = TRUE.
• Add set_priors() as a synonym for set_prior().
• set_priors() now also accepts a tibble an as input to make copying priors across models easier.
• Add an available_priors() function to list all the priors implemented in the package.
• Improve prop_family() and add size_family() (to easily check the meaning of eta and zeta parameters).
• Add a lalaja dataset to the package so that the Trinidadian case study based on Collins et al. (2016) can be reproduced more easily.

Bug fixes

• Fix a bug occurring when non-default dt or grid_size arguments were used for the Euler method.

isotracer 1.0.4 (2021-09-24)

Modifications for resubmission to CRAN

• Make re-export of functions from other packages cleaner.
• Improve documentation by adding some missing \value tags and removing examples using :::.

isotracer 1.0.3 (2021-09-14)

Modifications for resubmission to CRAN

• Fix issues about examples in the documentation (commented lines, dontrun{} vs donttest{}, examples for unexported functions).
• Add @return roxygen tags for all exported functions.
• Plotting functions don’t manipulate .Random.seed directly anymore.

Change in the handling of multiple cores for parallel runs

• The number of cores to use for parallel computation can now be set globally for the package by calling e.g. options(mc.cores = 4).
• The code checking the number of cores to use also checks for the _R_CHECK_LIMIT_CORES_ environmental variable to limit the number of cores to 2 when running on CRAN servers.

isotracer 1.0.2 (2021-08-25)

Modifications for resubmission to CRAN

• Fix issue about invalid file URIs in documentation.
• Reduce the size of the package tarball to 5 MB by:
  • making some plots in the vignettes smaller
  • ignoring rds files from vignettes/ when building the tarball
  • not including the case studies based on McRoy (1970) and Li (2017) datasets in the CRAN package (but those case studies are still available on the pkgdown website).

Change in the vignettes building approach

• Vignettes are now pre-compiled locally into dummy Rmd files to avoid issues with long run times and with the usage of multiple cores when performing R CMD checks.

isotracer 1.0.1 (2021-08-15)

First version submitted to CRAN.

Improvements

• Improve documentation of trini_mod dataset.
• Remove internal functions from documentation index.

isotracer 1.0.0 (2021-08-15)

Improvements

• Fix export of select generic so that it can be used without having to load dplyr first.
• Various minor fixes to address issues raised by R CMD check.

Documentation

• Update Reference section.
• Remove vignettes containing development notes.
• Add citation information.

isotracer 0.7.6 (2021-08-01)

Improvements

• Add a subset method for networkModelStanfit objects.
• Minor changes in prep-data/ scripts.

Documentation

• Polish case studies vignettes and fix some typos.
• Create an hex sticker.

isotracer 0.7.5 (2020-10-21)

New features

• Add functions to draw Sankey plots.
• Add a ggtopo() function to plot topologies.
• Add a ggflows() function to visualize flows.
• Implement radioactive tracers.
• Implement more distributions to model observed proportions of marked material (gamma, normal parameterized by cv, normal parameterized by sd and beta).
• Implement compartment-specific values for zeta (the parameter for variation in predicted compartment sizes).

Improvements

• Add a c() method for mcmc.list objects.
• Simplify the interface to define topologies.
• Speed up tidy_trajectories(), tidy_flows() and predict.networkModel().
• Improve handling of constant parameters.

Documentation

• Complete vignettes for the three selected case studies (nitrogen in Trinidadian streams from Collins 2016, phosphate uptake by eelgrass from McRoy 1970 and protein turnover in Arabidopsis from Li 2017).
• Polish all vignettes.

Fixes/other changes

• Various bug fixes.
• Remove all uses of furrr::future_map().

isotracer 0.7.4 (2020-05-21)

Improvements

• Include a simple aquarium model as a package dataset.
• Add functions tidy_data(), tidy_posterior_predict() and tidy_dpp() for easier posterior predictions.
• Improve colors in mcmc_heatmap().

Documentation

• All vignettes are now complete.
• New vignettes include “Units and priors”, “MCMC output format”, “Posterior predictive checks”, “Calculating derived parameters”, “How to simulate experiments”, “Parameter identifiability”.

Fixes

• Fix issue so that filter() methods for isotracer S3 classes are correctly exported and do not depend on dplyr being attached first.
• Fix R CMD check issues so that check now passes on Linux, Windows and Mac (as tested with the rhub package).
• Use seeds for random number generation (including for Stan runs) to make vignette cached runs reproducible.

isotracer 0.7.3 (2020-05-13)

Features

• Improve plotting function (plot single trajectories and Greek letters in labels).

Others

• Add (quite strict) version requirements for dependencies.
• Fix bug in set_topo() related to dependencies update.
• Improve test coverage.
• Use caching for long calculations in vignettes.

isotracer 0.7.2 (2020-03-13)

Interface changes

• Implement split compartments in the new interface.
• Add new prior: constant parameter (i.e. fixed parameter value).
• Add a select() method for mcmc.list objects.
• Improve plotting for predicted trajectories.
• Improve printing of topology.
• Polish the function names in the user interface.

Documentation

• All tutorials have been updated to work with the latest interface.
• Vignette for Trinidad case study almost complete.

Source improvements

• Major clean-up of the source files (remove old code, export only user-facing functions).
• Clean-up tests/ folder and re-write tests from scratch.
• Address most issues reported by R CMD check.

isotracer 0.7.1 (2019-12-12)

Major changes

• The interface was entirely redesigned from scratch for better usability.
• This was done in parallel with a lot of code clean-up, with the aim of having simpler and more easily extensible code that would carry less constraints from its history of being originally developed for the Trinidadian streams case study.
• The code is moving away from using R6 classes, which makes things simpler from a developer perspective (no need for careful deep-cloning to avoid unwanted references pointing to the same object in memory).
• The tutorials describing the basic use of the package have been updated.

Missing features

• Some features from the old implementation are still missing, such as split compartments.
• Some tutorials still need to be updated to work with the new interface.
• Tests and coverage have not been updated at all to work with the new interface.

isotracer 0.6.2 (2019-09-06)

Major improvements

• Implement the network model in Stan. Model fitting is faster and more efficient compared to the home-made MCMC sampler we used before.
• Implement adaptive dt selection (time step size) in the numerical solver used to project trajectories in the Stan model.
• Allow the user to specify customized parameter priors. Currently available priors are Uniform, half-Cauchy and (scaled) Beta.

Minor improvements

• Add an option to use histograms instead of kernel density estimates when plotting MCMC traces.
• Improve the color palette and variable labels in mcmc_heatmap().
• Add a derived.mcmc.list class to objects returned by Math generics for MCMC output (to automatically use isotracer plot method for derived parameters).
• Remove some unnecessary dependencies from DESCRIPTION.
• Reduce the output verbosity of the Makefile rules.
• Improve handling of time steps during numerical projection of the trajectories to make it more robust.

Documentation and installation

• Update the vignettes to work with the Stan implementation.
• Improve vignettes aesthetics.
• Fix installation issues when using devtools::install_gitlab().
• Fix the documentation for cloning the repository locally.
• (Fix/improve Rcpp code export for use with home-made sampler, but then made irrelevant by using Stan.)

For developers

• Also implement trajectories calculation using matrix exponential (in the Stan model), but inefficient.
• Also implement trajectories calculation using built-in ODE solver (in the Stan model), but inefficient.

Things to improve/fix for next version

• To fix: plotting the Sankey plot for estimated fluxes does not work yet with the new Stan implementation.
• To fix: R CMD Check was deactivated on the Gitlab repository to make the CI pipeline faster.
• To fix: profiling the model fitting does not make sense any more now that we are using Stan. Is there any other critical code to profile, or can we abandon profiling when running the CI pipeline?

isotracer 0.6.1 (2019-02-25)

Interface

• Add a tidyOutput() function to the core interface.

Documentation

• Simplify installation instructions.
• Prune old vignettes.
• Add a profiling output (for developers).
• Use Runner serialization for caching of intermediate results during vignette building.

Implementation

• Remove source code for previous implementation.
• Prune corresponding tests.
• Add serialization to Runner class to be able to save a Runner’s parameter state and sampler state in a small file and restore them in another session.

isotracer 0.6.0 (2019-02-22)

New user interface

• Major change to the user interface to design a network model.
• Implements different types of inputs (drip, pulse, flow) (run() method only working for flow input for now).
• Implement run() method in pure R first for use as a reference when optimizing speed with C++.
• Implement half-life for tracers which can decay with time (radioactive isotopes).
• Implement split compartments.

Tidifying the package

• Tidify datasets shipped with the package by adding functions datasetTopo(), datasetAddition() and datasetObs().
• Tidify the way the experimental units (replicates) are stored in a network model.
• Add a tidyChain() function to get the MCMC run of a network model in a tidy format, including columns with parameter values and network trajectories.
• Similarly, add a tidyFluxes() function to get run-averaged fluxes and compartment sizes for each iteration.

Visualization

• Add $renderMovie() method to SingleNetwork object to make an animation of tracer enrichment in a network.
• Improve plot.topology() method output.
• Create functions plotEstimatedProp(), plotEstimatedSize() and plotSankey() compatible with the new implementation.

Documentation

• Update some tutorial vignettes to take into account the new interface (Quick start, Modelling a small foodweb, new vignette Post-run diagnostics and analyses, Handling replication, Model Selection and Derived Parameters).
• Remove tutorial about simulating datasets.

Miscellaneous

• Improve test coverage.
• Make installation easier for new users by tracking package .rda files.

isotracer 0.5.0 (2018-11-26)

No major changes to the package, but a lot of small fixes, minor improvements and documentation additions.

Documentation: choosing candidate datasets for case studies

• Select candidate datasets to be used for case studies.
• Prepare the dataset modified from McRoy & Barsdate 1970 (eelgrass).

Preparing CRAN submission: R CMD check

• Fix/polish a lot of small things to avoid errors/warnings/notes from R CMD check.

Other changes

• Add a formal R6 class Proposal to be used as a parent for all proposal classes.
• Implement colored text-mode plots, inspired by the txtplot package and using the crayon package for colored output in the terminal.

isotracer 0.4.0 (2018-09-11)

License change

• Change license from MIT to GPL-3

User interface and documentation

• Improve the user interface to the core MCMC engine to better separate interface and implementation (the user does not have to access any R6 method or attribute directly).
• Create a new vignette to present the user interface to the core MCMC engine.

Other changes

• Refactor slightly the Runner class for cleaner presentation of methods.
• Improve test coverage (by adding test cases and dropping some unused code).

isotracer 0.3.0 (2018-09-04)

• The package, formerly known as mcmcssm, is renamed isotracer.
• An older, separate package containing the first implementation of the method was already called isotracer (this older package was not submitted to CRAN though - it was living on the maintainer computer and on GitLab). To distinguish between them, this other package has been renamed isotracerPrototype. This older package never reached above version 0.0.2 under the isotracer name, so there is no possible confusion between the two packages when version number is taken into account.

mcmcssm 0.2.0 (2018-09-03)

• Basic encapsulation is now available to use the core MCMC engine.
• Speed was improved for FoodwebModel MCMC run, in particular for models with split compartments.

mcmcssm 0.1.0 (2018-08-22)

• This is the first version tagged in the repository.