Package: jtdm 0.1-3

Giovanni Poggiato

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.tar.gz(r-4.5-noble)jtdm_0.1-3.tar.gz(r-4.4-noble)
jtdm_0.1-3.tgz(r-4.4-emscripten)jtdm_0.1-3.tgz(r-4.3-emscripten)
jtdm.pdf |jtdm.html✨
jtdm/json (API)
NEWS

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

Peer review:

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

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

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

2.70 score 7 scripts 217 downloads 9 exports 43 dependencies

Last updated 4 months agofrom:f9deabf666. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 08 2025
R-4.5-linuxOKJan 08 2025

Exports:ellipse_plotget_sigmagetBjoint_trait_probjoint_trait_prob_gradientjtdm_fitjtdm_predictjtdmCVpartial_response

Dependencies:clicolorspacecpp11fansifarverggforceggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmniwmunsellmvtnormnlmepillarpkgconfigplyrpolyclipR6RColorBrewerRcppRcppEigenreshape2rlangscalesstringistringrsystemfontstibbletidyselecttweenrutf8vctrsviridisLitewithr

ORCHAMP_dataset

Rendered fromORCHAMP_dataset.Rmdusingknitr::rmarkdownon Jan 08 2025.

Last update: 2023-11-12
Started: 2023-01-24