Imports: htmltools, knitr, rmarkdown, xfun

the lightweight CSS frameworks such as 'sakura', 'Water.css', and 'spcss'.
Powerful features include table of contents floating as a sidebar,
Suggests: callr, dplyr, purrr, testthat (>= 2.1.0), tidyr, tibble

Imports: htmltools, knitr, mime, rmarkdown, xfun

Imports: htmltools, katex, knitr, mime, rmarkdown, sass, xfun
Suggests: callr, dplyr, purrr, shiny, testthat (>= 2.1.0), tidyr,

Description: Generate central composite designs (CCD)with full as well
as fractional factorial points (half replicate) and Box Behnken
designs (BBD) with minimally changed run sequence.

Authors@R: person("Sean", "Kross", , "sean@seankross.com", c("aut", "cre"))
Description: Create tile grid maps, which are like choropleth maps except each
region is represented with equal visual space.

Description: The minimax family of distributions is a two-parameter
family like the beta family, but computationally a lot more

Title: Minimax and Minimax Projection Designs
Description: The 'minimaxdesign' package provides two main functions: mMcPSO() and
miniMaxPro(), which generates minimax designs and minimax projection designs using
clustering and particle swarm optimization (PSO) techniques. These designs can be used
in a variety of settings, e.g., as space-filling designs for computer experiments or
sensor allocation designs. A detailed description of the two designs and the employed
algorithms can be found in Mak and Joseph (2016).
Imports: Rcpp (>= 0.12.4), randtoolbox, DiceDesign, MaxPro, doParallel,

Packaged: 2016-04-21 17:14:08 UTC; SimonLenovo

Description: Provides two main functions: mMcPSO() and
a hybrid clustering - particle swarm optimization (PSO) algorithm. These designs can be used
algorithms can be found in Mak and Joseph (2016) <https://arxiv.org/abs/1602.03938>.
Packaged: 2016-11-22 23:47:29 UTC; SimonLenovo

Description: Provides two main functions, minimax() and miniMaxPro(), for computing minimax
and minimax projection designs using the minimax clustering algorithm in Mak and
include the unit hypercube ("hypercube"), the unit simplex ("simplex"), the unit ball
("ball"), as well as user-defined constraints on the unit hypercube ("custom"). Minimax
designs can also be computed on user-provided images using the function minimax.map().
Design quality can be assessed using the function mMdist(), which computes the minimax
doSNOW, gtools, nloptr, foreach, jpeg, gmp, conf.design, pdist,