Description: This package performs a fast exact segmentation allowing
the use of various cost functions and provides criteria for

Description: This package performs a fast exact segmentation on data and allows for use of various cost functions

Description: Performs a fast exact segmentation on data and allows for use of various cost functions.

Title: KoNLP static dictionaries and Sejong project resources.

Title: Selective Editing via Mixture models
Author: Ugo Guarnera, M. Teresa Buglielli
Description: Detection of outliers and influential errors using a

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

Title: Selective Editing via Mixture Models

Title: Estimates Species Abundances Based on Functional Traits
Authors@R: person("Daniel Laughlin", role = c("aut", "cre"),
Description: 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
Imports: Rsolnp, latticeExtra, grDevices, stats, lattice

Title: Determines Species Probabilities Based on Functional Traits
Description: For determining species probabilities that satisfy a given
Imports: Rsolnp, latticeExtra, grDevices, stats, lattice, graphics

Package: Select
Title: Determines Species Probabilities Based on Functional Traits
Version: 1.2
Authors@R: person("Daniel Laughlin", role = c("aut", "cre"),
email = "danielclaughlin@gmail.com")
Maintainer: Daniel Laughlin <danielclaughlin@gmail.com>
Description: 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.
Depends: R (>= 3.3.2)
Imports: Rsolnp, latticeExtra, grDevices, stats, lattice, graphics
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-12-15 19:33:31 UTC; danielclaughlin
Author: Daniel Laughlin [aut, cre]
Repository: CRAN
Date/Publication: 2017-12-16 22:01:25 UTC