Provides a building block for optimization algorithms
based on a simplex. The optimsimplex package may be used in the
following optimization methods: the Spendley et al. simplex
method, the Nelder-Mead method, the Box algorithm for
constrained optimization, the multi-dimensional search by
Virginia Torczon, etc...

Model Based Diagnostics for Multivariate Cluster Analysis
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.
stats, methods, mvabund (>= 3.1), ordinal (>= 2015.1-21)

A replacement and extension of the optim() function
John C Nash <nashjc@uottawa.ca> and Ravi Varadhan
<RVaradhan@jhmi.edu>
Provides a replacement and extension of the optim()
function to unify and streamline optimization capabilities in R
for smooth, possibly box constrained functions of several or
many parameters
numDeriv, BB, ucminf, Rcgmin, Rvmmin, minqa, setRNG

A Replacement and Extension of the optim() Function

BB, ucminf, Rcgmin, Rvmmin, minqa, setRNG

c( person(given = c("John", "C."), family = "Nash", role =
c("aut", "cre"), email = "nashjc@uottawa.ca"), person(given =
"Ravi", family = "Varadhan", role = "aut", email =
"RVaradhan@jhmi.edu"), person(given = "Gabor", family =
"Grothendieck", role = "ctb", email =
"ggrothendieck@gmail.com") )
Provides a replacement and extension of the optim()
function to unify and streamline optimization capabilities in R
for smooth, possibly box constrained functions of several or
many parameters. This is the CRAN version of the package.
BB, ucminf, Rcgmin, Rvmmin, minqa, setRNG, dfoptim, svUnit