VizOR-package           Graphical visualization tools for complex
                        observational data (VizOR). Package
                        functionality includes individual- and
                        aggregate-level graphics depicting patterns of
                        treatment and response in patient registries,
                        and a graphical tool for identifying potential
                        for confounding in analyses of observational
                        data.
[.colored               Index a colored vector
alphatize               Apply alpha transparency to a color vector
color                   Generic function 'color'
color.colored           Returns the vector of colors associated with
                        the factor levels.
colored                 Create a colored factor, an object of class
                        'c('colored','factor')' or
                        'c('colored','ordered')', from a character
                        vector or factor 'x'.
controller              Provides a GUI panel offering dynamic control
                        of the adjust-to settings of the partial
                        effects plot of an rms fit object.
droplevels.colored      Drop unused levels from a colored factor
fastback                fastback
key                     Generic function 'key'
key.colored             Extract the color key from a colored factor
plotbraids              plotbraids
predReg                 Registry Ensemble Prediction
prepanel.prevalence     Adapts y-axis limits to prevalence range and
                        any nonzero box width
radarplot               A multidimensional 'Table 1 at-a-glance'
relevel.colored         Reorder levels of a colored factor.
remvar                  remvar
representNA             Convert "NA"s to NAs
representNA.data.frame
                        Apply the 'representNA' function to all columns
                        of a data frame
timeline                A color-coded treatment time-line, with
                        overlaid events
vlbw                    Data on 671 very low birth weight infants
