| Version: | 1.0 |
| Date: | 2024-02-28 |
| Title: | Sliced Latin Hypercube Designs |
| Author: | A Anil Kumar [aut], Baidya Nath Mandal [aut, cre], Rajender Parsad [aut], Sukanta Dash [aut], Mukesh Kumar [aut] |
| Maintainer: | Baidya Nath Mandal <mandal.stat@gmail.com> |
| Depends: | R (≥ 4.3.0) |
| Description: | A facility to generate sliced (orthogonal) Latin hypercube designs with four and five slices. For details about sliced and orthogonal Latin hypercube designs, see Yang, J. F., Lin, C. D., Qian, P. Z., and Lin, D. K. (2013). "Construction of sliced orthogonal Latin hypercube designs". Statistica Sinica, 1117-1130, <doi:10.5705/ss.2012.037>. |
| Note: | This package is developed as part of ongoing Ph.D. (Agricultural Statistics) thesis research work of first author at ICAR-Indian Agricultural Statistics Research Institute, New Delhi, India. |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Packaged: | 2024-02-28 12:10:51 UTC; PC |
| Repository: | CRAN |
| Date/Publication: | 2024-02-29 12:42:40 UTC |
orthogonal Latin hypercube designs
Description
This function generates an orthogonal Latin hypercube designs upto 6 columns
Usage
olh1(n, m)Arguments
n |
number of runs |
m |
number of columns, between 2 to 6 |
Value
A orthogonal Latin hypercube design with m columns in n runs
Author(s)
Baidya Nath Mandal<mandal.stat@gmail.com>
Examples
olh1(16,3)
Orthogonal matrix for 16 runs
Description
This function generates an orthogonal matrix in 16 runs with 6 columns with given numbers
Usage
om16(v)Arguments
v |
a vector containing numbers |
Value
D |
(An orthogonal matrix of 16 runs and 6 columns |
Author(s)
Baidya Nath Mandal<mandal.stat@gmail.com>
Examples
om16(c(1,2,4,8,10,12,14,16))
Orthogonal matrix for 16r runs
Description
This function generates an orthogonal matrix in 16r runs with 6 columns with given numbers
Usage
om16r(n,r,levels)Arguments
n |
number of runs |
r |
a positive integer |
levels |
a vector containing 16r numbers |
Value
design |
(An orthogonal matrix of 16 runs and 6 columns |
Author(s)
Baidya Nath Mandal<mandal.stat@gmail.com>
Examples
om16r(16,2,1:32)
Sliced Latin hypercube designs
Description
This function generates a sliced Latin hypercube designs
Usage
slh(n1, t, q)Arguments
n1 |
number of runs in first slice |
t |
number of slices, currently 3 or 4 are supported |
q |
number of columns, between 2 to 6 |
Value
A sliced Latin hypercube design with q columns in t(n1-1) + 1 runs in t slices
Author(s)
A Anil Kumar<aa9538148952@gmail.com>
Examples
slh(5,3,4)
Sliced orthogonal Latin hypercube designs
Description
This function generates a sliced orthogonal Latin hypercube designs upto 6 columns
Usage
solh(n1, t, q)Arguments
n1 |
number of runs in first slice |
t |
number of slices, currently 3 or 4 are supported |
q |
number of columns, between 2 to 6 |
Value
A sliced orthogonal Latin hypercube design with q columns in t(n1-1) + 1 runs in t slices
Author(s)
A Anil Kumar<aa9538148952@gmail.com>
Examples
solh(4,5,2)