Estimation, model selection and other aspects of
    statistical inference in Graphical Gaussian models with edge and
    vertex symmetries (Graphical Gaussian models with colours).
    Documentation about 'gRc' is provided in the paper by Hojsgaard and
    Lauritzen (2007, <doi:10.18637/jss.v023.i06>) and the paper by
    Hojsgaard and Lauritzen (2008, <doi:10.1111/j.1467-9868.2008.00666.x>).

When the number of treatments is large with limited experimental resources then Row-Column(RC) designs with multiple units per cell can be used. These designs are called Generalized Row-Column (GRC) designs and are defined as designs with v treatments in p rows and q columns such that the intersection of each row and column (cell) consists of k experimental units. For example (Bailey & Monod (2001)<doi:10.1111/1467-9469.00235>), to conduct an experiment for comparing 4 treatments using 4 plants with leaves at 2 different heights row-column design with two units per cell can be used. A GRC design is said to be structurally complete if corresponding to the intersection of each row and column, there appears at least two treatments. A GRC design is said to be structurally incomplete if corresponding to the intersection of any row and column, there is at least one cell which does not contain any treatment.

Provides tools for constructing row-column factorial
    experiment layouts for the estimation of main effects and two-factor
    interactions in factorial and fractional factorial experiments. The
    package implements generator-matrix based design construction methods
    motivated by 2fi-optimal row-column designs, where all main effects
    are estimable and as many two-factor interactions as possible are
    unconfounded; see Zhang, Pan and Shi (2025)
    <doi:10.1016/j.jspi.2024.106192>. It also includes theorem-based
    constructions, heuristic D-optimal search routines for unsupported or
    composite-level cases, utilities for building generator matrices, and
    diagnostic functions for evaluating aliasing and estimability
    properties of the generated designs.