Optimal Row-Column Designs for Asymmetrical Factorial Experiments R package MFRCD version 0.1.1 Constructs and analyzes optimal row-column designs for mixed-level factorial experiments under square and rectangular field layouts. For square field layouts, the package implements direct common-factor constructions by first forming two component treatment arrays, one for each factor or super-factor, and then combining them through a symbolic cell-wise product following Gopinath, Parsad and Mandal (2018) <doi:10.1080/03610926.2017.1376091>. For rectangular field layouts, the package constructs designs by extracting a balanced principal block from a mixed-level block design, treating it as the principal column, taking the complete treatment set as the principal row, and generating the full row-column design by cyclic modular development. The package also includes repair utilities for improving disconnected or partially connected row-column designs through bounded treatment-swap searches while preserving the row-column layout structure. The package provides diagnostic tools for connectedness, orthogonal factorial structure, balance, estimability, and selected optimality criteria for row-column designs. Software Depends: R (>= 4.0.0) Imports: stats Suggests: mixedfact, roxygen2, testthat (>= 3.0.0) Sukanta Dash <sukanta.iasri@gmail.com> Comprehensive R Archive Network (CRAN) Archana A [aut], Sukanta Dash [aut, cre] GPL-3 2026-05-11 application/tgz https://CRAN.R-project.org/package=MFRCD doi:10.32614/CRAN.package.MFRCD