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equiBSPD
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Download and install equiBSPD package within the R console
Install from CRAN:
install.packages("equiBSPD")
Install from Github:
library("remotes")
install_github("cran/equiBSPD")
Install by package version:
library("remotes")
install_version("equiBSPD", "0.1.0")
Attach the package and use:
library("equiBSPD")
Maintained by
Bijoy Chanda
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[Scholar Profile | Author Map]
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First Published: 2024-09-15
Latest Update: 2024-09-15
Description:
In agricultural, post-harvest and processing, engineering and industrial experiments factors are often differentiated with ease with which they can change from experimental run to experimental run. This is due to the fact that one or more factors may be expensive or time consuming to change i.e. hard-to-change factors. These factors restrict the use of complete randomization as it may make the experiment expensive and time consuming. Split plot designs can be used for such situations. In general model estimation of split plot designs require the use of generalized least squares (GLS). However for some split-plot designs ordinary least squares (OLS) estimates are equivalent to generalized least squares (GLS) estimates. These types of designs are known in literature as equivalent-estimation split-plot design. For method details see, Macharia, H. and Goos, P.(2010) <doi:10.1080/00224065.2010.11917833>.Balanced split plot designs are designs which have an equal number of subplots within every whole plot. This package used to construct equivalent estimation balanced split plot designs for different experimental set ups along with different statistical criteria to measure the performance of these designs. It consist of the function equivalent_BSPD().
How to cite:
Bijoy Chanda (2024). equiBSPD: Equivalent Estimation Balanced Split Plot Designs. R package version 0.1.0, https://cran.r-project.org/web/packages/equiBSPD. Accessed 23 Dec. 2024.
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