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trialSizing  

Tools for Experimental Design Sizing
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("trialSizing", "0.1.0")



Attach the package and use:
library("trialSizing")
Maintained by
Willyan Bandeira
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-05
Latest Update: 2026-08-05
Description:
Sizes field experiments from uniformity-trial data, following the relationship between the coefficient of variation and plot size. Checks a trial for the spatial structure the sizing methods assume (semivariogram, Moran's I, kriged field map), summarises the coefficient of variation over every plot shape the grid admits, and estimates the optimal plot size by the modified maximum curvature method of Meier and Lessman (1971), by the linear response plateau (LRP) and quadratic response plateau (QRP) models, and by the closed form of Paranaiba, Ferreira and Morais (2009), which can be compared side by side. From the coefficient of variation at the optimum it derives the number of replications needed to detect a given difference between treatment means, as in Cargnelutti Filho and others (2014). Every method returns standardised diagnostic statistics, optional bootstrap uncertainty for the breakpoint, and publication-style plots.
How to cite:
Willyan Bandeira (2026). trialSizing: Tools for Experimental Design Sizing. R package version 0.1.0, https://cran.r-project.org/web/packages/trialSizing. Accessed 04 Oct. 2026.
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