R Observatory: Metrics for NPBBBdesigns version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

NPBBBdesigns

1.0.0Package record

Construction and a-Efficiency of Nested Partially Balanced Bipartite Block Designs

0packages depend

515downloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by VinayakaCRAN page ↗

Construction and evaluation of nested partially balanced bipartite block (NPBBB) designs for comparing a set of test treatments with a set of control treatments under a nested (blocks within blocks) structure. Six systematic construction methods are provided: composing partially balanced bipartite block designs with nested balanced incomplete block designs; augmenting nested partially balanced incomplete block designs with controls; merging rows of group-divisible nested designs; direct construction from group-divisible schemes; and expansion of partially balanced incomplete block designs (Vinayaka et al. 2026: In press). The A-efficiencies of the block and sub-block classifications are computed against the A-optimal completely symmetric reference design, following the test-versus-control optimality framework of Gupta and Parsad (1996) doi:10.1080/03610929608831743 and Vinayaka et al. (2024) doi:10.1080/03610926.2023.2251623. These designs are particularly suited to agricultural, animal husbandry, industrial, and clinical trials involving multiple standard checks under nested experimental conditions, such as multi-environment trials where field heterogeneity (blocks) and within-field variation (sub-blocks) must be controlled simultaneously.

Changes in 1.0.0

First release.
Six construction methods for nested partially balanced bipartite block (NPBBB) designs: construct_method1 to construct_method6.
Exact A-efficiency evaluation for the block and sub-block classifications via info_matrix, a_value, a_value_optimal and npbbb_efficiency, benchmarked against the A-optimal completely symmetric reference design.
print methods for the "npbbb" and "npbbb_efficiency" classes, including a full physical block / sub-block layout.
n_units helper for the total number of experimental units.

From NEWS.md in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("NPBBBdesigns", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-npbbbdesigns

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-NPBBBdesigns

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-NPBBBdesigns

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK7 OK2026-07-05

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 499 wordsVignettesNoNEWSYes · 67% structured · mentions 1.0.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 13
Examples that run: 100%13 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 77%

How these are measured

Downloads

515

CRAN downloads in the past year

Rank #25,259 · ~1/day · ~43/mo

Releases R versions

Daily download trend is not available in this view yet.

12530 days

38290 days

5151 year

Compare downloads with other packages →

Also on21 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Installing NPBBBdesigns adds no packages beyond those that come with R.

Depends (1)

R >= 3.5.0

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (5)

Vinayaka

Author, Maintainer since 1.0.0 (2026)

Gopalareddy Krishnappa

Author, Contributor

B.N. Mandal

Author, Contributor

Rajender Parsad

Author, Contributor

L.N. Vinaykumar

Author, Contributor

Releases (1)

1.0.0Latest
record
2026-07-04 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-07-04
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Download size: 15 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NPBBBdesigns")

Format

Vinayaka, Krishnappa, G., Mandal, B. N., Parsad, R., & Vinaykumar, L. N. (2026). NPBBBdesigns: Construction and a-Efficiency of Nested Partially Balanced Bipartite Block Designs (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.NPBBBdesigns

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for NPBBBdesigns version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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