Package: jtdm 0.1-3

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>.

Authors:Giovanni Poggiato [aut, cre, cph]

jtdm_0.1-3.tar.gz
jtdm_0.1-3.zip(r-4.7)jtdm_0.1-3.zip(r-4.6)jtdm_0.1-3.zip(r-4.5)
jtdm_0.1-3.tgz(r-4.6-any)jtdm_0.1-3.tgz(r-4.5-any)
jtdm_0.1-3.tar.gz(r-4.7-any)jtdm_0.1-3.tar.gz(r-4.6-any)
jtdm_0.1-3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
jtdm/json (API)
NEWS

# Install 'jtdm' in R:
install.packages('jtdm', repos = c('https://giopogg.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/giopogg/jtdm/issues

Pkgdown/docs site:https://giopogg.github.io

Datasets:
  • X - Site x environmental covariates dataset
  • Y - Site x CWM traits dataset

On CRAN:

Conda:

4.65 score 9 stars 7 scripts 232 downloads 9 exports 35 dependencies

Last updated from:1c04e3da1d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK165
source / vignettesOK211
linux-release-x86_64OK162
macos-release-arm64OK181
macos-oldrel-arm64OK179
windows-develOK115
windows-releaseOK95
windows-oldrelOK131
wasm-releaseOK128

Exports:ellipse_plotget_sigmagetBjoint_trait_probjoint_trait_prob_gradientjtdm_fitjtdm_predictjtdmCVpartial_response

Dependencies:base64encclicpp11farverggforceggplot2gluegridExtragtableisobandjsonlitelabelinglifecyclemagrittrMASSmniwmvtnormplyrpolyclipR6RColorBrewerRcppRcppEigenreshape2rlangS7scalesstringistringrsystemfontstidyselecttweenrvctrsviridisLitewithr

ORCHAMP_dataset

Rendered fromORCHAMP_dataset.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2023-01-23
Started: 2023-01-18