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gjam (version 2.5.1)

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

422

Version

2.5.1

License

GPL (>= 2)

Maintainer

James S Clark

Last Published

January 9th, 2022

Functions in gjam (2.5.1)

gjamDeZero

Compress (de-zero) gjam data
gjamOrdination

Ordinate gjam data
gjam

Gibbs sampler for gjam data
gjamIIE

Indirect effects and interactions for gjam data
gjam-package

Generalized Joint Attribute Modeling
gjamFillMissingTimes

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

Plots indirect effects and interactions for gjam data
gjamCensorY

Censor gjam response data
gjamPlot

Plot gjam analysis
gjamPoints2Grid

Incidence point pattern to grid counts
gjamSimData

Simulated data for gjam analysis
gjamSpec2Trait

Ecological traits for gjam analysis
gjamTrimY

Trim gjam response data
gjamSensitivity

Sensitivity coefficients for gjam
gjamReZero

Expand (re-zero) gjam data
gjamPriorTemplate

Prior coefficients for gjam analysis
gjamPredict

Predict gjam data