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pRepDesigns

1.2.0Package record

Partially Replicated (p-Rep) Designs

0packages depend
2.1Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Early generation breeding trials are to be conducted in multiple environments where it may not be possible to replicate all the lines in each environment due to scarcity of resources. For such situations, partially replicated (p-Rep) designs have wide application potential as only a proportion of the test lines are replicated at each environment. A collection of several utility functions related to p-Rep designs have been developed. Here, the package contains six functions for a complete stepwise analytical study of these designs. Five functions pRep1(), pRep2(), pRep3(), pRep4() and pRep5(), are used to generate five new series of p-Rep designs and also compute average variance factors and canonical efficiency factors of generated designs. A fourth function NCEV() is used to generate incidence matrix (N), information matrix (C), canonical efficiency factor (E) and average variance factor (V). This function is general in nature and can be used for studying the characterization properties of any block design. A construction procedure for p-Rep designs was given by Williams et al.(2011) doi:10.1002/bimj.201000102 which was tedious and time consuming. Here, in this package, five different methods have been given to generate p-Rep designs easily.

Install

Health

CRAN checks
13OK
Slowest check: 47 s · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.2.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
67%4 run in a plain check · 2 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
67%

Downloads

2.1K
CRAN downloads in the past year
Rank #24,091 · ~6/day · ~177/mo
Daily download trend is not available in this view yet.
21930 days
52990 days
2.1K1 year
Compare downloads with other packages →
Also on69 r2u2 autocran

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)

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

Depends (0)
none
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
MASS
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (6)
Author, Maintainer since 1.0.0 (2022)
Author, Contributor
Author, Contributor
Author, Contributor
Author, Contributor
Author, Contributor
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.0Latest
    record
    2024-04-02 · current release · diff ↗
  • 1.1.0
    record
    2023-05-14 · diff ↗ ·
    added 2 exports
    pRep4, pRep5
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    record
    2022-09-01
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-01
Total releases
3 / 4 yrs
License
GPL (>= 2) OSI
Download size
8.0 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pRepDesigns")
L.N., V., Vinayaka, Dalal, A., Harun, M., Karmakar, S., & Varghese, C. (2024). pRepDesigns: Partially Replicated (p-Rep) Designs (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.pRepDesigns

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for pRepDesigns version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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