| Type: | Package |
| Title: | A-Efficiency for Nested Partially Balanced Bipartite Block (NPBBB) Designs |
| Version: | 0.1.0 |
| Maintainer: | Vinayaka <vinayaka.b3vs@gmail.com> |
| Description: | Nested Partially Balanced Bipartite Block (NPBBB) designs involve two levels of blocking: (i) The block design (ignoring sub-block classification) serves as a partially balanced bipartite block (PBBB) design, and (ii) The sub-block design (ignoring block classification) also serves as a PBBB design. More details on constructions of the PBBB designs and their characterization properties are available in Vinayaka et al.(2023) <doi:10.1080/03610926.2023.2251623>. This package calculates A-efficiency values for both block and sub-block structures, along with all parameters of a given NPBBB design. |
| License: | GPL-3 |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| NeedsCompilation: | no |
| Packaged: | 2025-01-15 16:20:55 UTC; DELL |
| Author: | Vinayaka [aut, cre], B.N. Mandal [aut, ctb], Rajender Parsad [aut, ctb], Vinaykumar L.N. [aut, ctb] |
| Repository: | CRAN |
| Date/Publication: | 2025-01-16 10:50:10 UTC |
A-Efficiency for Nested Partially Balanced Bipartite Block (NPBBB) Designs
Description
This function calculates the A-efficiency values for the block and sub-block structures of a given NPBBB design
Usage
NPBBBD_Aeff(bd, sbd, v1, v2)
Arguments
bd |
Block design (ignoring sub-blocks) in matrix form considering rows as blocks |
sbd |
Sub-block design (ignoring blocks) in matrix form considering rows as blocks |
v1 |
Number of test treatments |
v2 |
Number of control treatments |
Value
The output includes:
-
v1: Number of test treatments -
v2: Number of controls -
b1: Number of blocks -
b2: Number of sub-blocks -
r1: Test replications -
r2: Control replications -
k1: Block size -
k2: Sub-block size -
Lambdas1: Lambda values from block design -
Lambdas2: Lambda values from sub-block design -
E1: Block design efficiency -
E2: Sub-block design efficiency
References
Vinayaka, Parsad R, Mandal BN, Dash S, LN Vinaykumar, Kumar M, Singh DR (2023) <doi:10.1080/03610926.2023.2251623>
Examples
## Not run:
library(NPBBBDAefficiency)
NPBBBD_Aeff(matrix(c(1, 2, 3, 4), nrow = 2, byrow = TRUE),
matrix(c(1, 2, 3, 4), nrow = 2, byrow = TRUE),
v1 = 2, v2 = 2)
## End(Not run)