Title: OPTICS K-Xi Density-Based Clustering
Description: Provides a novel density-based cluster extraction method, OPTICS k-Xi, and a framework to compare k-Xi models using distance-based metrics to investigate datasets with unknown number of clusters.
Suggests: amap, dbscan, cowplot, fastICA, fpc, ggrepel, grid,
grDevices, gtable, knitr, parallel, plyr, reshape2, stats,

Title: Likelihood Based Optimal Partitioning for Indicator Species
Author: Peter Solymos [cre, aut], Ermias T. Azeria [ctb]
Description: Likelihood based optimal partitioning for indicator
species analysis. Finding the best binary partition for each species
based on model selection, possibly controlling for modifying/confounding
variables as described in Kemencei et al. (2014) <doi:10.1556/ComEc.15.2014.2.6>.
The package also implements various measures of uncertainty based on
binary partitions, optimal multinomial partitioning, and exploratory
suitability indices, with native support for parallel computations.
Imports: MASS, pscl, betareg, ResourceSelection (>= 0.3-0), parallel,

Title: Likelihood Based Optimal Partitioning and Indicator Species
Description: Likelihood based optimal partitioning and indicator
based on model selection, with the possibility to take into account
The package implements binary and multi-level response models,
various measures of uncertainty, Lorenz-curve based thresholding,
with native support for parallel computations.
Imports: MASS, pscl, betareg, ResourceSelection (>= 0.3-2), parallel,

Description: A single function 'options.ifunset(...)' is contained herewith, which allows the user to set a global option ONLY if it is not already set. By this token, for package maintainers this function can be used in preference to the standard 'options(...)' function, making provision for THEIR end user to place 'options(...)' directives within their '.Rprofile' file, which will not be overridden at the point when a package is loaded.

Title: Command-Line Parsing for an R World
Description: Parse options from the command-line using a simple, clean syntax.
It requires little or no specification and supports short and long options,
GNU-, Java- or Microsoft- style syntaxes, verb commands and more.
Imports: stringi (>= 0.4.1), magrittr (>= 1.5)
Suggests: testthat (>= 0.9.1), knitr (>= 1.9), rmarkdown