Other packages > Find by keyword >

NPBBBdesigns  

Construction and a-Efficiency of Nested Partially Balanced Bipartite Block Designs
View on CRAN: Click here


Download and install NPBBBdesigns package within the R console
Install from CRAN:
install.packages("NPBBBdesigns")

Install from Github:
library("remotes")
install_github("cran/NPBBBdesigns")

Install by package version:
library("remotes")
install_version("NPBBBdesigns", "1.0.0")



Attach the package and use:
library("NPBBBdesigns")
Maintained by
Vinayaka
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-04
Latest Update: 2026-07-04
Description:
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.
How to cite:
Vinayaka (2026). NPBBBdesigns: Construction and a-Efficiency of Nested Partially Balanced Bipartite Block Designs. R package version 1.0.0, https://cran.r-project.org/web/packages/NPBBBdesigns. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited NPBBBdesigns R package
View NPBBBdesigns citation profile
Other R packages that NPBBBdesigns depends, imports, suggests or enhances
Complete documentation for NPBBBdesigns
Functions, R codes and Examples using the NPBBBdesigns R package
Full NPBBBdesigns package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
magicfor  
Magic Functions to Obtain Results from for Loops
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency  
forecastHybrid  
Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  
FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  
gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA