Package: cosimmr 1.0.12

Emma Govan

cosimmr: Fast Fitting of Stable Isotope Mixing Models with Covariates

Fast fitting of Stable Isotope Mixing Models in R. Allows for the inclusion of covariates. Also has built-in summary functions and plot functions which allow for the creation of isospace plots. Variational Bayes is used to fit these models, methods as described in: Tran et al., (2021) <doi:10.48550/arXiv.2103.01327>.

Authors:Emma Govan [cre, aut], Andrew Parnell [aut], Ahmed Shalaby [ctb], Alan Inglis [ctb]

cosimmr_1.0.12.tar.gz
cosimmr_1.0.12.tar.gz(r-4.7-arm64)cosimmr_1.0.12.tar.gz(r-4.7-x86_64)cosimmr_1.0.12.tar.gz(r-4.6-arm64)cosimmr_1.0.12.tar.gz(r-4.6-x86_64)
cosimmr_1.0.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
cosimmr/json (API)

# Install 'cosimmr' in R:
install.packages('cosimmr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/emmagovan/cosimmr/issues

Pkgdown/docs site:https://emmagovan.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
  • jags– Just Another Gibbs Sampler for Bayesian MCMC
Datasets:

On CRAN:

Conda:

openblascppopenmpjags

2.30 score 8 scripts 593 downloads 5 exports 53 dependencies

Last updated from:4137f173f6. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK208
linux-devel-x86_64OK196
source / vignettesOK216
linux-release-arm64OK208
linux-release-x86_64OK208
wasm-releaseOK140

Exports:cosimmr_ffvbcosimmr_loadposterior_predictiveprint.cosimmr_inputprior_viz

Dependencies:abindbackportsbayesplotbootcheckmateclicodacpp11distributionaldplyrfarvergenericsggnewscaleggplot2ggridgesgluegridExtragtableisobandlabelinglatticelifecyclemagrittrmatrixStatsnumDerivpillarpkgconfigplyrposteriorpurrrR2jagsR2WinBUGSR6RColorBrewerRcppRcppArmadilloRcppDistreshape2rjagsrlangS7scalesstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisviridisLitewithr

Stable Isotope Mixing Models with Covariates in R using cosimmr
Introduction | Installation of the cosimmr package

Last update: 2024-06-01
Started: 2024-05-29

Quick start using cosimmr
Step 1: install cosimmr | Step 2: load in the data | Step 3: load the data into cosimmr | Step 4: plot the data

Last update: 2024-06-01
Started: 2024-06-01