jtdm: Joint Modelling of Functional Traits

Fitting and analyzing a Joint Trait Distribution Model. The Joint Trait Distribution Model is implemented in the Bayesian framework using conjugate priors and posteriors, thus guaranteeing fast inference. In particular the package computes joint probabilities and multivariate confidence intervals, and enables the investigation of how they depend on the environment through partial response curves. The method implemented by the package is described in Poggiato et al. (2023) <doi:10.1111/geb.13706>.

Version: 0.1-1
Depends: R (≥ 3.5.0)
Imports: ggforce, mniw, mvtnorm, parallel, stats, utils, ggplot2, gridExtra, reshape2
Suggests: knitr, rmarkdown, devtools
Published: 2023-09-25
Author: Giovanni Poggiato ORCID iD [aut, cre, cph]
Maintainer: Giovanni Poggiato <giov.poggiato at gmail.com>
BugReports: https://github.com/giopogg/jtdm/issues
License: GPL-3
URL: https://github.com/giopogg/jtdm, https://giopogg.github.io/jtdm/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: jtdm results


Reference manual: jtdm.pdf
Vignettes: ORCHAMP_dataset


Package source: jtdm_0.1-1.tar.gz
Windows binaries: r-devel: jtdm_0.1-1.zip, r-release: jtdm_0.1-1.zip, r-oldrel: jtdm_0.1-1.zip
macOS binaries: r-release (arm64): jtdm_0.1-1.tgz, r-oldrel (arm64): jtdm_0.1-1.tgz, r-release (x86_64): jtdm_0.1-1.tgz, r-oldrel (x86_64): jtdm_0.1-1.tgz
Old sources: jtdm archive


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