Package: NPBBBDAefficiency 0.1.0

NPBBBDAefficiency: A-Efficiency for Nested Partially Balanced Bipartite Block (NPBBB) Designs

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.

Authors:Vinayaka [aut, cre], B.N. Mandal [aut, ctb], Rajender Parsad [aut, ctb], Vinaykumar L.N. [aut, ctb]

NPBBBDAefficiency_0.1.0.tar.gz
NPBBBDAefficiency_0.1.0.zip(r-4.7)NPBBBDAefficiency_0.1.0.zip(r-4.6)NPBBBDAefficiency_0.1.0.zip(r-4.5)
NPBBBDAefficiency_0.1.0.tgz(r-4.6-any)NPBBBDAefficiency_0.1.0.tgz(r-4.5-any)
NPBBBDAefficiency_0.1.0.tar.gz(r-4.7-any)NPBBBDAefficiency_0.1.0.tar.gz(r-4.6-any)
NPBBBDAefficiency_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
NPBBBDAefficiency/json (API)

# Install 'NPBBBDAefficiency' in R:
install.packages('NPBBBDAefficiency', repos = c('https://vinayaka11442.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 181 downloads 1 exports 0 dependencies

Last updated from:97fa8797b8. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK100
source / vignettesOK133
linux-release-x86_64OK96
macos-release-arm64OK68
macos-oldrel-arm64OK83
windows-develOK67
windows-releaseOK56
windows-oldrelOK53
wasm-releaseOK87

Exports:NPBBBD_Aeff

Dependencies: