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smatr - (Standardised) Major Axis Estimation and Testing Routines

Methods for fitting bivariate lines in allometry using the major axis (MA) or standardised major axis (SMA), and for making inferences about such lines. The available methods of inference include confidence intervals and one-sample tests for slope and elevation, testing for a common slope or elevation amongst several allometric lines, constructing a confidence interval for a common slope or elevation, and testing for no shift along a common axis, amongst several samples. See Warton et al. 2012 <doi:10.1111/j.2041-210X.2011.00153.x> for methods description.

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allometric-linesinference

8.87 score 2 stars 5 dependents 316 scripts 1.8k downloads

plant - A Package for Modelling Forest Trait Ecology and Evolution

Solves trait, size and patch structured model from (Falster et al. 2016) using either method of characteristics or as stochastic, finite-sized population.

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c-plus-plusdemographydynamicecologyevolutionforestsplant-physiologyscience-researchsimulationtraitcpp

6.14 score 55 stars 42 scripts

traits.build - A Workflow for Harmonising Trait Data from Diverse Sources into a Documented Standard Structure

The `traits.build` package provides a workflow to harmonise trait data from diverse sources. A description of the data model, workflow, and R package are presented in Wenk et al, 2024, <doi:10.1016/j.ecoinf.2024.102773>. The code was originally built to support AusTraits (see Falster et al 2021, <doi:10.1038/s41597-021-01006-6>, <https://github.com/traitecoevo/austraits.build>) and has been generalised here to support construction of other trait databases. For detailed instructions and examples see <https://traitecoevo.github.io/traits.build-book/>.

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4.41 score 11 stars 39 scripts

bmsma - Bayesian Multilevel fits of Standardise Major Axis lines to bivariate data

Allows fitting of Standardise Major Axis lines to bivariate data via MCMC with random effects.

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onetbbcpp

3.18 score 3 stars 3 scripts

baad.data - Retrieve Data From the 'BAAD' (Biomass And Allometry Database)

Retrieves data from the Biomass And Allometry Database ('baad'). This simplifies the task of keeping a consistently referenceable set of data on a computer without having to manually cache it.

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3.10 score 7 stars 18 scripts