Detection of outliers and influential errors using a
latent variable model.

Detection of outliers and influential errors using a latent variable model.

Ugo Guarnera [aut],
Teresa Buglielli [aut, cre]

Estimates Species Abundances Based on Functional Traits
person("Daniel Laughlin", role = c("aut", "cre"),
email = "d.laughlin@waikato.ac.nz")
For estimating species abundances that satisfy a given
functional trait profile. Restoring resilient ecosystems requires a
flexible framework for selecting assemblages that are based on the functional
traits of species. However, current trait-based models have been biased toward
algorithms that can only select species by optimising specific trait values,
and could not elegantly accommodate the common desire among restoration ecologists
to produce functionally diverse assemblages. We have solved this problem by
applying a non-linear optimisation algorithm that optimises Rao’s Q, a closed-form
functional diversity index that incorporates species abundances, subject to other
linear constraints. This framework generalises previous models that could only
optimise the entropy of the community, and can optimise both functional diversity
and entropy simultaneously.
Rsolnp, latticeExtra, grDevices, stats, lattice

Determines Species Probabilities Based on Functional Traits
For determining species probabilities that satisfy a given
functional trait profile. Restoring resilient ecosystems requires a
flexible framework for selecting assemblages that are based on the functional
traits of species. However, current trait-based models have been biased toward
algorithms that can only select species by optimising specific trait values,
and could not elegantly accommodate the common desire among restoration ecologists
to produce functionally diverse assemblages. We have solved this problem by
applying a non-linear optimisation algorithm that optimises Rao’s Q, a closed-form
functional diversity index that incorporates species abundances, subject to other
linear constraints. This framework generalises previous models that could only
optimise the entropy of the community, and can optimise both functional diversity
and entropy simultaneously.
Rsolnp, latticeExtra, grDevices, stats, lattice, graphics