Package: gjam 2.7

James S. Clark

gjam: Generalized Joint Attribute Modeling

Analyzes joint attribute data (e.g., species abundance) that are combinations of continuous and discrete data with Gibbs sampling. Full model and computation details are described in Clark et al. (2018) <doi:10.1002/ecm.1241>.

Authors:James S. Clark [aut, cre], Daniel Taylor-Rodriquez [aut]

gjam_2.7.tar.gz
gjam_2.7.tar.gz(r-4.7-arm64)gjam_2.7.tar.gz(r-4.7-x86_64)gjam_2.7.tar.gz(r-4.6-arm64)gjam_2.7.tar.gz(r-4.6-x86_64)
gjam_2.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gjam/json (API)

# Install 'gjam' in R:
install.packages('gjam', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

3.16 score 144 scripts 277 downloads 1 mentions 17 exports 4 dependencies

Last updated from:d198792758. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK144
linux-devel-x86_64OK124
source / vignettesOK205
linux-release-arm64OK141
linux-release-x86_64OK145
wasm-releaseOK108

Exports:gjamgjamCensorYgjamConditionalParametersgjamDeZerogjamFillMissingTimesgjamIIEgjamIIEplotgjamOrdinationgjamPlotgjamPoints2GridgjamPredictgjamPriorTemplategjamReZerogjamSensitivitygjamSimDatagjamSpec2TraitgjamTrimY

Dependencies:MASSRANNRcppRcppArmadillo

Generalized joint attribute modeling - gjam

James S. Clark

Rendered fromgjamVignette.Rmdusingknitr::rmarkdownon May 26 2026.

Last update: 2025-10-28
Started: 2016-01-04