Packaged: 2021-02-10 02:12:21 UTC; mcglinndj

Title: Spatial Simulation and Scale-Dependent Analysis of Biodiversity
Authors@R: person("Felix", "May", email = "felix.may@posteo.de", role = c("aut","cre"))
Description: Tools for the simulation, analysis and sampling of spatial
biodiversity data (May et al. 2017) <doi:10.1101/209502>.
In the simulation tools user define the numbers of
species and individuals, the species abundance distribution and species
aggregation. Functions for analysis include species rarefaction
and accumulation curves, species-area relationships and the distance
Imports: Rcpp, vegan, sads (>= 0.4.1), grDevices, utils, graphics,
Suggests: rmarkdown, spatstat, testthat, knitr

Suggests: rmarkdown, spatstat.geom, spatstat.core, spatstat (>= 2.0-0),

Title: General Nonlinear Mixtures of Curves.
Description: Fits a variety of mixtures models for multivariate observations
with user-difined distributions and curves.

Title: GENERAL NONLINEAR MIXTURES OF CURVES
with user-defined distributions and profiles.
License: GPL (version 2 or later, see the included file GPL)

Packaged: Wed Feb  9 12:44:50 2005; root

Packaged: Wed Oct 12 15:39:53 2005; root

Description: Fits a variety of mixtures models for multivariate
observations with user-defined distributions and profiles.

Packaged: Thu May 29 01:08:48 2008; root

Title: General Nonlinear Multivariate Finite Mixtures
Description: Fits and vizualize user defined finite mixture models for multivariate observations
using maximum likelihood. (McLachlan, G., Peel, D. (2000) Finite Mixture Models. Wiley-Interscience.)

Title: Multi-Objective Clustering Algorithm Guided by a-Priori
Authors@R: c(person("Jorge Parraga-Alava", email = "jorge.parraga@usach.cl", comment = c(ORCID = "0000-0001-8558-9122"), role = c("aut", "cre")), person("Marcio Dorn", email = "mdorn@inf.ufrgs.br", role=c("aut")), person("Mario Inostroza-Ponta", email = "mario.inostroza@usach.cl", role = c("aut")))
Description: Implements the Multi-Objective Clustering Algorithm Guided by a-Priori Biological Knowledge (MOC-GaPBK) which was proposed by Parraga-Alava, J. et. al. (2018) <doi:10.1186/s13040-018-0178-4>.
Imports: stats, amap, mco, nsga2R, reshape2, miscTools, matrixStats,
fields, Rmisc, plyr, foreach, parallel, doParallel, utils,