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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
2.6.2
2.6
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Install
install.packages('gjam')
Monthly Downloads
818
Version
2.6.2
License
GPL (>= 2)
Maintainer
James S Clark
Last Published
May 23rd, 2022
Functions in gjam (2.6.2)
Search all functions
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
