gjam (version 2.6.2)

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

416

Version

2.6.2

License

GPL (>= 2)

Maintainer

James S Clark

Last Published

May 23rd, 2022

Functions in gjam (2.6.2)

gjamPlot

Plot gjam analysis

gjamFillMissingTimes

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

gjam

Gibbs sampler for gjam data

gjamIIEplot

Plots indirect effects and interactions for gjam data

gjamCensorY

Censor gjam response data

gjamIIE

Indirect effects and interactions for gjam data

gjamOrdination

Ordinate gjam data

gjam-package

Generalized Joint Attribute Modeling

gjamDeZero

Compress (de-zero) gjam data

gjamConditionalParameters

Parameters for gjam conditional prediction

gjamSpec2Trait

Ecological traits for gjam analysis

gjamPredict

Predict gjam data

gjamPoints2Grid

Incidence point pattern to grid counts

gjamSensitivity

Sensitivity coefficients for gjam

gjamSimData

Simulated data for gjam analysis

gjamTrimY

Trim gjam response data

gjamReZero

Expand (re-zero) gjam data

gjamPriorTemplate

Prior coefficients for gjam analysis