Visualization techniques, data sets, summary and inference
        procedures aimed particularly at categorical data. Special
        emphasis is given to highly extensible grid graphics. The
        package was package was originally inspired by the book 
	"Visualizing Categorical Data" by Michael Friendly and is 
	now the main support package for a new book, 
	"Discrete Data Analysis with R" by Michael Friendly and 
	David Meyer (2015).

Provides the 'vcd2df' function, which loads a IEEE 1364-1995/2001
    VCD (.vcd) file, specified as a parameter of type string containing exactly
    a file path, and returns an R dataframe containing values over time.  
    A VCD file captures the register values at discrete timepoints from a 
    simulated trace of execution of a hardware design in Verilog or VHDL.
    The returned dataframe contains a row for each register, by name, and a
    column for each time point, specified VCD-style using octothorpe-prefixed 
    multiples of the timescale as strings. 
    The only non-trivial implementation details are that (1) VCD 'x' and 'z' 
    non-numerical values are encoded as negative value -1 (as otherwise all bit
    values are positive) and (2) registers with repeated names in distinct 
    modules are ignored, rather than duplicated, as we anticipate these 
    registers to have the same values.
    Read more in arXiv preprint: 'vcd2df' -- Leveraging Data Science Insights 
    for Hardware Security Research <doi:10.48550/arXiv.2505.06470>.

Provides additional data sets, methods and documentation to complement the 'vcd' package for Visualizing Categorical Data
    and the 'gnm' package for Generalized Nonlinear Models.
	In particular, 'vcdExtra' extends mosaic, assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and
	adds a 3D version in 'mosaic3d'.  Additionally, methods are provided for comparing and visualizing lists of
	'glm' and 'loglm' objects. This package is now a support package for the book, "Discrete Data Analysis with R" by
  Michael Friendly and David Meyer.