agree.cac3rd            Dataset showing the distribution of 6 raters by
                        psychiatric condition
agree.contingency       Dataset representing a 10x10 contingency table
agreeCAC                Ratings of 15 subjects from 4 raters
altman                  Dataset describing the Altman's Benchmarking
                        Scale
altman.bf               Computing Altman's Benchmark Scale Membership
                        Probabilities
bangdiwala.table        Bangdiwala B coefficient for 2 raters
bangdiwala2RR.fn        Bangdiwala B coefficient for 2 raters when
                        input dataset is made up of 2 columns of raw
                        data.
bipolar.weights         Function for computing the Bipolar Weights
bp.coeff.dist           Brennan-Prediger's agreement coefficient among
                        multiple raters (2, 3, +) when the input
                        dataset is the distribution of raters by
                        subject and category.
bp.coeff.raw            Brennan & Prediger's (BP) agreement coefficient
                        for an arbitrary number of raters (2, 3, +)
                        when the input data represent the raw ratings
                        reported for each subject and each rater.
bp2.table               Brenann-Prediger coefficient for 2 raters
cac.ben.gerry           Ratings of 12 units from 2 raters named Ben and
                        Gerry
cac.dist.g1g2           Distribution of 4 raters by subject and by
                        category, for 14 Subjects that belong to 2
                        groups "G1" and "G2"
cac.dist4cat            Distribution of 4 raters by Category and
                        Subject - Subjects allocated in 2 groups A and
                        B.
cac.raw.g1g2            Dataset of raw ratings from 4 Raters on 14
                        Subjects that belong to 2 groups named "G1" and
                        "G2"
cac.raw.gender          Rating Data from 4 Raters and 15 human
                        Subjects, 9 of whom are female and 6 males.
cac.raw2raters          Dataset of raw ratings by 2 raters and 12
                        subjects.
cac.raw4raters          Rating Data from 4 Raters and 12 Subjects.
cac.raw5obser           Scores assigned by 5 observers to 20
                        experimental units.
circular.weights        Function for computing the Circular Weights
conger.kappa.raw        Conger's generalized kappa coefficient for an
                        arbitrary number of raters (2, 3, +) when the
                        input data represent the raw ratings reported
                        for each subject and each rater.
cont3x3abstractors      Distribution of 100 pregnant women by pregnancy
                        type and by abstractor.
cont4x4diagnosis        Distribution of 223 Psychiatric Patients by
                        Type of of Psychiatric Disorder and Diagnosis
                        Method.
distrib.6raters         Distribution of 6 psychiatrists by
                        Subject/patient and diagnosis Category.
fleiss                  Dataset describing Fleiss' Benchmarking Scale
fleiss.bf               Computing Fleiss Benchmark Scale Membership
                        Probabilities
fleiss.kappa.dist       Fleiss' agreement coefficient among multiple
                        raters (2, 3, +) when the input dataset is the
                        distribution of raters by subject and category.
fleiss.kappa.raw        Fleiss' generalized kappa among multiple raters
                        (2, 3, +) when the input data represent the raw
                        ratings reported for each subject and each
                        rater.
freq.supp.fn            freq.supp.fn: This function reads a 3-variable
                        input data file containing unique pairs of
                        categories along with their frequency of
                        occurrences, and outputs a similar file where
                        all possible pairs of categories are
                        represented, some with a frequency of
                        occurrence of 0.
freqs.data              Distribution of 10 subjects by rater (Ben and
                        Gerry) and by category.
gwet.ac1.dist           Gwet's AC1/AC2 agreement coefficient among
                        multiple raters (2, 3, +) when the input
                        dataset is the distribution of raters by
                        subject and category.
gwet.ac1.raw            Gwet's AC1/AC2 agreement coefficient among
                        multiple raters (2, 3, +) when the input data
                        represent the raw ratings reported for each
                        subject and each rater.
gwet.ac1.table          Gwet's AC1/AC2 coefficient for 2 raters
identity.weights        Function for computing the Identity Weights
kappa2.table            Kappa coefficient for 2 raters
krippen.alpha.dist      Krippendorff's agreement coefficient among
                        multiple raters (2, 3, +) when the input
                        dataset is the distribution of raters by
                        subject and category.
krippen.alpha.raw       Krippendorff's alpha coefficient for an
                        arbitrary number of raters (2, 3, +) when the
                        input data represent the raw ratings reported
                        for each subject and each rater.
krippen2.table          Krippendorff's Alpha coefficient for 2 raters
landis.koch             Dataset describing the Landis & Koch
                        Benchmarking Scale
landis.koch.bf          Computing Landis-Koch Benchmark Scale
                        Membership Probabilities
linear.weights          Function for computing the Linear Weights
long2wide.fn            long2wide.fn: This function transforms a
                        3-column dataset of frequencies to a square
                        matrix or a contingency table. This function
                        uses the freq.supp.fn() function.
ordinal.weights         Function for computing the Ordinal Weights
pa.coeff.dist           Percent agreement coefficient among multiple
                        raters (2, 3, +) when the input dataset is the
                        distribution of raters by subject and category.
pa.coeff.raw            Percent agreement among multiple raters (2, 3,
                        +) when the input data represent the raw
                        ratings reported for each subject and each
                        rater.
pa2.table               Percent Agreement coefficient for 2 raters
quadratic.weights       Function for computing the Quadratic Weights
radical.weights         Function for computing the Radical Weights
ratio.weights           Function for computing the Ratio Weights
scott2.table            Scott's coefficient for 2 raters
trim                    An r function for trimming leading and trealing
                        blanks
x.dist10x5              Dataset of categorical ratings assigned to 10
                        subjects and presented in the form of a
                        distribution of 4 raters by subject and
                        category
x.dist6x5psy            Dataset showing how 6 psychiatrists classified
                        15 patients by their mental health condition.
x.raw10x4               Raw categorical ratings assigned to 10 subjects
                        by 4 raters
x.raw12x4               This dataset contains raw categorical ratings
                        that 4 raters assigned to 12 subjects.
