Description: A single key function, 'Require' that makes rerun-tolerant
versions of 'install.packages' and `require` for CRAN packages, packages
no longer on CRAN (i.e., archived), specific versions of packages,
and GitHub packages. This approach is developed to create reproducible
workflows that are flexible and fast enough to use while in development stages,
while able to build snapshots once a stable package collection is found.
As with other functions in a reproducible workflow, this package
emphasizes functions that return the same result whether it is
the first or subsequent times running the function, with subsequent times being
sufficiently fast that they can be run every time without undue waiting burden on
Imports: data.table (>= 1.10.4), methods, utils

Suggests: covr, remotes, pak, parallel, testit

Imports: data.table (>= 1.10.4), methods, tools, utils
Suggests: covr, remotes, parallel, testit

Title: "Resolvable Partially Balanced Incomplete Block Designs
Authors@R: c(person("Vinaykumar", "L.N.", email = "vinaymandya123@gmail.com", role = c("aut","cre")), person("Cini", "Varghese", email = "cini2204@gmail.com", role = c("aut","ctb")), person("Mohd", "Harun", email = "harun.agribhu@gmail.com" , role = c("aut","ctb")), person("Karmakar","Sayantani",email="sayantanikarmakar20@gmail.com", role =c("aut","ctb")))
Description: A collection of several utility functions related to resolvable and affine resolvable Partially Balanced Incomplete Block Designs (PBIBDs), have been developed. In the class of resolvable designs, affine resolvable designs are said to be optimal, Bailey (1995) <doi:10.2307/2337638>. Here, the package contains three functions to generate and study the characterization properties of these designs. Developed functions are named as PBIBD1(), PBIBD2() and PBIBD3(), in which first two functions are used to generate two new series of affine resolvable PBIBDs and last one is used to generate a new series of resolvable PBIBDs, respectively.  In addition, these functions can also be used to generate design parameters (v, b, r and k), canonical efficiency factors, variance factor between associates and average variance factors of the generated designs. Here v is the number of treatments, b (= b1 + b2, in case of non-proper design) is the number of blocks, r is the number of replications and k (= k1 + k2; k1 is the size of b1 and k2 is the size of b2) is the block size.
Packaged: 2022-10-31 17:23:51 UTC; Vinaykumar LN