Package: gjam 2.6.2

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, Daniel Taylor-Rodriquez

gjam_2.6.2.tar.gz
gjam_2.6.2.tar.gz(r-4.5-noble)gjam_2.6.2.tar.gz(r-4.4-noble)
gjam_2.6.2.tgz(r-4.4-emscripten)gjam_2.6.2.tgz(r-4.3-emscripten)
gjam.pdf |gjam.html✨
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

3.18 score 150 scripts 701 downloads 1 mentions 17 exports 4 dependencies

Last updated 3 years agofrom:296c89707a. Checks:1 OK, 1 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 14 2025
R-4.5-linux-x86_64NOTEFeb 14 2025

Exports:gjamgjamCensorYgjamConditionalParametersgjamDeZerogjamFillMissingTimesgjamIIEgjamIIEplotgjamOrdinationgjamPlotgjamPoints2GridgjamPredictgjamPriorTemplategjamReZerogjamSensitivitygjamSimDatagjamSpec2TraitgjamTrimY

Dependencies:MASSRANNRcppRcppArmadillo

Generalized joint attribute modeling - gjam

James S. Clark

Rendered fromgjamVignette.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2022-05-23
Started: 2016-01-04