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MultiTraits 1.0.0 (2026-3-22)
New Features and Major
Improvements
PTMN Module (Plant Trait Multilayer Networks):
Introduced a comprehensive new module for constructing, analyzing, and
visualizing plant trait multilayer networks. This module systematically
integrates multilayer network theory with plant functional trait
analysis and includes three core functions:
- PTMN(): Constructs phylogenetic trait multilayer
networks where nodes represent traits organized into layers (e.g.,
organs or functional systems) and edges represent significant
correlations. It supports correlation thresholding, p-value filtering,
FDR correction, and optional phylogenetic correction using independent
contrasts.
- PTMN_metrics(): Calculates node-level and global
network metrics for PTMNs, identifying hub traits and cross-layer
modules. Included metrics are interlayer degree, closeness, clustering
coefficient, edge density, path length, and modular association.
- PTMN_plot(): Visualizes PTMNs with options for
standard and circular layouts, customizable node and edge aesthetics,
and layer/module highlighting. It clearly differentiates intralayer
edges (black) from interlayer edges (red).
Bug fixes
- LHS_strategy_scheme(): Corrected an error in the
strategy description mapping. The trait sequence was previously
misinterpreted as a Leaf-Seed-Height order. The text descriptions in the
strategy column have now been fixed to accurately reflect the standard
Leaf-Height-Seed (L-H-S) framework.
MultiTraits 0.6.0
(2025-10-01)
New Features and Major
Improvements
PTN Module (Plant Trait Network): Functions in
the trait network module have been renamed from the TN_
prefix to PTN_ for consistency (e.g., PTN(),
PTN_metrics()). Functionality for phylogenetic correction
has been added, allowing PTN() and PTN_corr()
to account for species’ evolutionary relatedness during
analysis.
CSR Module: The module has been expanded with
the CSR_hodgson() function, implementing an alternative CSR
classification method based on Hodgson et al. (1999).
NPT Module: A discrete classification scheme has
been added to the Niche Periodic Table module.
Data: A new phylogenetic tree for the PFF
dataset (PFF_tree) has been included to support the new
phylogenetic correction capabilities.
Other minor improvements and documentation enhancements have been
made across the package.
Bug fixes
CSR_plot(): Removed the dependency on
the ggtern package (no longer maintained) and implemented
plotting using ggplot2 to ensure continued compatibility and improve
stability.
MultiTraits 0.5.0 (2025-4-20)
Bug fixes and minor
improvements
- Modify the community detection algorithm of the TN_metrics function
to cluster_edge_betweenness
- Modified TN function to support unweighted networks
MultiTraits 0.4.0 (2025-4-16)
Bug fixes and minor
improvements
- Modified TN_metrics function to support unweighted networks
MultiTraits 0.3.0 (2025-2-21)
Infrastructure
- Added unit testing infrastructure using testthat package
- Added test coverage for core functions
Bug fixes and minor
improvements
- Removed deprecated vegan::summary() call in NPT function in favor of
direct scores() method
MultiTraits 0.2.0
(2024-12-21)
Bug fixes and minor
improvements
- Fixed bug where discrete scales could not map aesthetics only
consisting of
NAs
- Fixed spurious warnings from
sec_axis() with
breaks = NULL.
- Patterns and gradients are now also enabled in
geom_sf().
- The default behaviour of
resolution() has been reverted
to pre-3.5.0 behaviour. Whether mapped discrete vectors should be
treated as having resolution of 1 is controlled by the new
discrete argument.
- Fixed bug in
guide_bins() and
guide_coloursteps() where discrete breaks, such as the
levels produced by cut(), were ordered incorrectly.
- Fixed calculation issues in CSR module
- Resolved NaN errors in TN module
- Optimized visualization effects across all modules (CSR, LHS, NPT,
TN)
- Removed WH dataset
- Updated examples across package modules
MultiTraits 0.1.0
(2024-11-26)
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