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iRoCoDe
View on CRAN: Click
here
Download and install iRoCoDe package within the R console
Install from CRAN:
install.packages("iRoCoDe")
Install from Github:
library("remotes")
install_github("cran/iRoCoDe")
Install by package version:
library("remotes")
install_version("iRoCoDe", "1.0.1")
Attach the package and use:
library("iRoCoDe")
Maintained by
Md. Ashraful Haque
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-13
Latest Update: 2022-01-25
Description:
The Row-column designs are widely recommended for experimental situations when there are two well-identified factors that are cross-classified representing known sources of variability. These designs are expected to result a gain in accuracy of estimating treatment comparisons in an experiment as they eliminate the effects of the row and column factors. However, these designs are not readily available when the number of treatments is more than the levels of row and column blocking factors. This package named 'iRoCoDe' generates row-column designs with incomplete rows and columns, by amalgamating two incomplete block designs (D1 and D2). The selection of D1 and D2 (the input designs) can be done from the available incomplete block designs, viz., balanced incomplete block designs/ partially balanced incomplete block designs/ t-designs. (Mcsorley, J.P., Phillips, N.C., Wallis, W.D. and Yucas, J.L. (2005).).
How to cite:
Md. Ashraful Haque (2021). iRoCoDe: Incomplete Row-Column Designs. R package version 1.0.1, https://cran.r-project.org/web/packages/iRoCoDe
Previous versions and publish date:
1.0.0 (2021-09-13 10:20)
Other packages that cited iRoCoDe R package
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Other R packages that iRoCoDe depends,
imports, suggests or enhances
Functions, R codes and Examples using
the iRoCoDe R package
Some associated functions: a_matrix . get_rep . get_treat . iRoCoDe . n_matrix . rearrange_mat . rmv_list . row_unique .
Some associated R codes: iRoCoDe.R . Full iRoCoDe package functions and examples
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