Title: Agglomerative Partitioning Framework for Dimension Reduction
Description: A fast and flexible framework for agglomerative partitioning. 'partition' uses an approach
called Direct-Measure-Reduce to create new variables that maintain the
user-specified minimum level of information. Each reduced variable is also interpretable:
the original variables map to one and only one variable in the reduced data set. 'partition'
is flexible, as well: how variables are selected to reduce, how information loss is measured,
and the way data is reduced can all be customized.
Imports: Rcpp, rlang, purrr, tibble, dplyr (>= 0.8.0), tidyr, ggplot2
(>= 3.0.0), stringr, magrittr, crayon, pillar, infotheo, MASS,
Suggests: covr, spelling, testthat, knitr, rmarkdown
Packaged: 2019-05-16 16:08:33 UTC; malcolmbarrett
Malcolm Barrett [aut, cre] (<https://orcid.org/0000-0003-0299-5825>)

Imports: Rcpp, rlang, purrr, tibble, dplyr (>= 0.8.0), tidyr (>=
1.0.0), ggplot2 (>= 3.0.0), stringr, magrittr, crayon, pillar,
Packaged: 2019-12-12 00:50:35 UTC; malcolmbarrett

Description: A fast and flexible framework for agglomerative
partitioning. 'partition' uses an approach called
Direct-Measure-Reduce to create new variables that maintain the
user-specified minimum level of information. Each reduced variable is
also interpretable: the original variables map to one and only one
variable in the reduced data set. 'partition' is flexible, as well:
how variables are selected to reduce, how information loss is
measured, and the way data is reduced can all be customized.
'partition' is based on the Partition framework discussed in Millstein
et al. (2020) <doi: 10.1093/bioinformatics/btz661>.
Imports: crayon, dplyr (>= 0.8.0), forcats, ggplot2 (>= 3.3.0),
infotheo, magrittr, MASS, pillar, purrr, Rcpp, rlang, stringr,
Suggests: covr, knitr, rmarkdown, spelling, testthat, ggcorrplot
Packaged: 2020-05-24 17:33:48 UTC; malcolmbarrett

Packaged: 2021-01-07 21:34:20 UTC; malcolmbarrett

Packaged: 2021-10-05 01:00:26 UTC; malcolmbarrett

Title: Methods for Calculating the Loreau & Hector 2001 BEF Partition
Description: A collection of functions that can be used to estimate selection and complementarity effects,
sensu Loreau & Hector (2001) <doi:10.1038/35083573>, even in cases where data are only available for
a random subset of species (i.e. incomplete sample-level data). A full derivation and explanation of the
statistical corrections used here is available in Clark et al. (2019) <doi:10.1111/2041-210X.13285>.