gjam (version 2.7)

Generalized Joint Attribute Modeling

Description

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) .

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Version

Install

install.packages('gjam')

Monthly Downloads

942

Version

2.7

License

GPL (>= 2)

Maintainer

James S Clark

Last Published

October 28th, 2025

Functions in gjam (2.7)

gjamSpec2Trait

Ecological traits for gjam analysis

gjamReZero

Expand (re-zero) gjam data

gjamPredict

Predict gjam data

gjamSensitivity

Sensitivity coefficients for gjam

gjamSimData

Simulated data for gjam analysis

gjamTrimY

Trim gjam response data

gjam-package

Generalized Joint Attribute Modeling

gjamOrdination

Ordinate gjam data

gjamConditionalParameters

Parameters for gjam conditional prediction

gjamCensorY

Censor gjam response data

gjamIIE

Indirect effects and interactions for gjam data

gjamFillMissingTimes

Fill out data for time series (state-space) gjam

gjamIIEplot

Plots indirect effects and interactions for gjam data

gjamPlot

Plot gjam analysis

gjamDeZero

Compress (de-zero) gjam data

gjam

Generalized Joint Attribute Modeling

gjamPriorTemplate

Prior coefficients for gjam analysis

gjamPoints2Grid

Incidence point pattern to grid counts