knitr, rmarkdown, e1071, randomForest, scales, mlbench,
FeatureTerminatoR

Distance metrics for trees generated by Congreve and Lamsdell
(2016)
Includes the 100 datasets simulated by Congreve and Lamsdell (2016)
<doi:10.1111/pala.12236>, and analyses of the partition and quartet distance of
reconstructed trees from the generative tree, as analysed by Smith (2019)
<doi:10.1098/rsbl.2018.0632>.
c(person("Martin R.", 'Smith',
email='martin.smith@durham.ac.uk',
role=c("aut", "cre", "cph"),
comment=c(ORCID = "0000-0001-5660-1727")),
person(given = "Curtis R.", family="Congreve", role = c("cph", "dtc")),
person('James C.', 'Lamsdell', role=c("cph", "dtc"))
)
Data from Congreve & Lamsdell (2016) released under a CC0
license <doi:10.5061/dryad.7dq0j/1>.
ape, bookdown, knitr, phangorn, Quartet, rmarkdown,
TreeSearch (> 0.2.0), usethis
Martin R. Smith [aut, cre, cph]
(<https://orcid.org/0000-0001-5660-1727>),
Curtis R. Congreve [cph, dtc],
James C. Lamsdell [cph, dtc]

Distance Metrics for Trees Generated by Congreve and Lamsdell

Provides a set of tools that can be used across 'data.frame' and
'imputationList' objects.

A package to check the cancellation axioms of conjoint
measurement.
Implementation of a procedure (Domingue, 2012; see also
Karabatsos, 2001 and Kyngdon, 2011) to test the single and
double cancellation axioms of conjoint measure in data that is
dichotomously coded and measured with error.

Tools for working with connectivity matrices
ConnMatTools collects several different methods for analyzing and
working with connectivity matrices in R.  Though primarily oriented towards
marine larval dispersal, many of the methods are general and useful for
terrestrial systems as well.
'ConnMatTools.R' 'eigs.R' 'Jacobi_EPT_reserve_selection.R'
'datasets.R' 'dpr_model.R' 'retentionStats.R'
'jacobi_etal_2012.R'

Tools for Working with Connectivity Data
David M. Kaplan <dmkaplan2000@gmail.com> [cre,aut], Marco Andrello <marco.andrello@gmail.com> [ctb]
Collects several different methods for analyzing and
working with connectivity data in R.  Though primarily oriented towards
marine larval dispersal, many of the methods are general and useful for
terrestrial systems as well.
'ConnMatTools.R' 'eigs.R' 'Jacobi_EPT_reserve_selection.R'
'utils.R' 'connectivity_estimation.R'
'connectivity_estimation.distributions.R'
'connectivity_estimation.finite_settlement.R'
'connectivity_estimation.multinomial.R'
'connectivity_estimation.multiple.R' 'datasets.R' 'dpr_model.R'
'estimating_marked_egg_fraction.R' 'retentionStats.R'
'jacobi_etal_2012.R'