Title: R port of the Scilab optimsimplex module
Description: Provides a building block for optimization algorithms
based on a simplex. The optimsimplex package may be used in the
following optimization methods: the simplex method of Spendley
et al., the method of Nelder and Mead, Box's algorithm for
constrained optimization, the multi-dimensional search by
Packaged: 2010-05-05 11:15:19 UTC; sebastien

Packaged: 2010-05-12 01:25:05 UTC; sebastien

Packaged: 2011-03-16 23:12:03 UTC; sebastien

Packaged: 2014-02-01 13:01:50 UTC; sebastien

Title: R Port of the 'Scilab' Optimsimplex Module
based on a simplex. The 'optimsimplex' package may be used in the
Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308>, Box's algorithm for
constrained optimization (1965) <doi:10.1093/comjnl/8.1.42>, the
multi-dimensional search by Torczon (1989)
Packaged: 2017-07-28 21:48:48 UTC; sebastien

Packaged: 2018-02-13 02:08:04 UTC; sebastien

Packaged: 2022-01-28 11:57:01 UTC; sebastien

following optimization methods: the Spendley et al. simplex
method, the Nelder-Mead method, the Box algorithm for
Packaged: 2010-05-05 04:43:40 UTC; sebastien

Title: Model Based Diagnostics for Multivariate Cluster Analysis
Description: Assessment and diagnostics for comparing competing
clustering solutions, using predictive models. The main intended
use is for comparing clustering/classification solutions of
ecological data (e.g. presence/absence, counts, ordinal scores) to
1) find an optimal partitioning solution, 2) identify
characteristic species and 3) refine a classification by merging
clusters that increase predictive performance. However, in a more
general sense, this package can do the above for any set of
clustering solutions for i observations of j variables.
Imports: stats, methods, mvabund (>= 3.1), ordinal (>= 2015.1-21)

Title: A replacement and extension of the optim() function
Author: John C Nash <nashjc@uottawa.ca> and Ravi Varadhan
Description: Provides a replacement and extension of the optim()
Depends: numDeriv, BB, ucminf, Rcgmin, Rvmmin, minqa, setRNG