BRCA1                   Cumulative risk of breast cancer in women with
                        the BRCA1 mutation.
BRCA1_mam               Cumulative risk of breast cancer in women with
                        the BRCA1 mutation.
BRCA1_ova               Cumulative risk of ovarian cancer in women with
                        the BRCA1 mutation.
BRCA2                   Cumulative risk of breast cancer in women with
                        the BRCA2 mutation.
BRCA2_mam               Cumulative risk of breast cancer in women with
                        the BRCA2 mutation.
BRCA2_ova               Cumulative risk of ovarian cancer in women with
                        the BRCA2 mutation.
FDR                     The false detection rate of a decision process
                        or diagnostic procedure.
FFTrees_riskyr          Convert from FFTrees to riskyr objects.
FOR                     The false omission rate (FOR) of a decision
                        process or diagnostic procedure.
N                       Number of individuals in the population.
NPV                     The negative predictive value of a decision
                        process or diagnostic procedure.
PPV                     The positive predictive value of a decision
                        process or diagnostic procedure.
acc                     Accuracy (acc) is the probability of a correct
                        decision.
accu                    A list containing current accuracy information.
as_pb                   Display a percentage as a (numeric and rounded)
                        probability.
as_pc                   Display a probability as a (numeric and
                        rounded) percentage.
comp_FDR                Compute a decision's false detection rate (FDR)
                        from probabilities.
comp_FOR                Compute a decision's false omission rate (FOR)
                        from probabilities.
comp_NPV                Compute a decision's negative predictive value
                        (NPV) from probabilities.
comp_PPV                Compute a decision's positive predictive value
                        (PPV) from probabilities.
comp_acc                Compute overall accuracy (acc) from
                        probabilities.
comp_accu_freq          Compute accuracy metrics of current
                        classification results.
comp_accu_prob          Compute exact accuracy metrics based on
                        probabilities.
comp_comp_pair          Compute a probability's (missing) complement
                        and return both.
comp_complement         Compute a probability's complement probability.
comp_complete_prob_set
                        Compute a complete set of probabilities from
                        valid probability inputs.
comp_err                Compute overall error rate (err) from
                        probabilities.
comp_fart               Compute a decision's false alarm rate from its
                        specificity.
comp_freq               Compute frequencies from (3 essential)
                        probabilities.
comp_freq_freq          Compute frequencies from (4 essential)
                        frequencies.
comp_freq_prob          Compute frequencies from (3 essential)
                        probabilities.
comp_min_N              Compute a suitable minimum population size
                        value N.
comp_mirt               Compute a decision's miss rate from its
                        sensitivity.
comp_popu               Compute a population table (data) from
                        frequencies (description).
comp_ppod               Compute the proportion of positive decisions
                        (ppod) from probabilities.
comp_prev               Compute the condition's prevalence (baseline
                        probability) from frequencies.
comp_prob               Compute probabilities from (3 essential)
                        probabilities.
comp_prob_freq          Compute probabilities from (4 essential)
                        frequencies.
comp_prob_prob          Compute probabilities from (3 essential)
                        probabilities.
comp_sens               Compute a decision's sensitivity from its miss
                        rate.
comp_spec               Compute a decision's specificity from its false
                        alarm rate.
cond_false              Number of individuals for which the condition
                        is false.
cond_true               Number of individuals for which the condition
                        is true.
cr                      Frequency of correct rejections or true
                        negatives (TN).
dec_cor                 Number of individuals for which the decision is
                        correct.
dec_err                 Number of individuals for which the decision is
                        erroneous.
dec_neg                 Number of individuals for which the decision is
                        negative.
dec_pos                 Number of individuals for which the decision is
                        positive.
df_scenarios            A collection of riskyr scenarios from various
                        sources (as df).
err                     Error rate (err) as the probability of an
                        incorrect decision.
fa                      Frequency of false alarms or false positives
                        (FP).
fart                    The false alarm rate (or false positive rate)
                        of a decision process or diagnostic procedure.
freq                    List current frequency information.
hi                      Frequency of hits or true positives (TP).
init_num                Initialize basic numeric variables.
init_pal                Initialize basic color information.
init_txt                Initialize basic text elements.
is_complement           Verify that two numbers are complements.
is_extreme_prob_set     Verify that a set of probabilities describes an
                        extreme case.
is_freq                 Verify that input is a frequency (positive
                        integer value).
is_integer              Test for inters (i.e., whole numbers).
is_matrix               Verify a 2x2 matrix as a numeric contingency
                        table.
is_perc                 Verify that input is a percentage (numeric
                        value from 0 to 100).
is_prob                 Verify that input is a probability (numeric
                        value from 0 to 1).
is_suff_prob_set        Verify a sufficient set of probability inputs.
is_valid_prob_pair      Verify that a pair of probability inputs can be
                        a pair of complementary probabilities.
is_valid_prob_set       Verify that a set of probability inputs is
                        valid.
is_valid_prob_triple    Verify that a triple of essential probability
                        inputs is valid.
mi                      Frequency of misses or false negatives (FN).
mirt                    The miss rate of a decision process or
                        diagnostic procedure.
num                     List current values of basic numeric variables.
pal                     List current values of scenario color palette.
pal_bw                  Alternative color palette for black-and-white
                        (greyscale) graphs.
pal_bwp                 Alternative color palette for black-and-white
                        graphs (for printing purposes).
pal_crisk               Color palette for cumulative risk curve.
pal_kn                  Alternative color palette for kn.
pal_mbw                 Modern and reduced color palette (in
                        green/blue/bw).
pal_mod                 Modern color palette (in green/blue/orange).
pal_org                 Original color palette.
pal_rgb                 Alternative color palette for graphs (with RGB
                        colors).
pal_unikn               Alternative color palette for unikn.
pal_vir                 Alternative color palette using viridis colors.
plot.box                Plot a frequency box object
plot.riskyr             Plot a riskyr scenario.
plot_area               Plot an area diagram of probabilities or
                        frequencies.
plot_bar                Plot bar charts of population frequencies.
plot_crisk              Plot a cumulative risk curve.
plot_curve              Plot curves of selected values (e.g., PPV or
                        NPV) as a function of prevalence.
plot_fnet               Plot frequency net diagram of frequencies and
                        probabilities.
plot_icons              Plot an icon array of a population.
plot_mosaic             Plot a mosaic plot of population frequencies.
plot_plane              Plot a plane of selected values (e.g., PPV or
                        NPV) as a function of sensitivity and
                        specificity.
plot_prism              Plot prism diagram of frequencies and
                        probabilities.
plot_tab                Plot a 2 x 2 contingency table of population
                        frequencies.
plot_tree               Plot a tree diagram of frequencies and
                        probabilities.
popu                    A table of cases (in the current population).
ppod                    The proportion (or baseline) of a positive
                        decision (aka. bias).
prev                    The prevalence (baseline probability) of a
                        condition.
print.summary.riskyr    Print summary information of a riskyr scenario.
prob                    List current probability information.
read_popu               Read population data (from df) into a riskyr
                        scenario (description).
riskyr                  Create a riskyr scenario.
riskyr.guide            Opens the riskyr package guides
scenarios               A collection of riskyr scenarios from various
                        sources (as list).
sens                    The sensitivity (or hit rate) of a decision
                        process or diagnostic procedure.
spec                    The specificity of a decision process or
                        diagnostic procedure.
summary.riskyr          Summarize a riskyr scenario.
t_A                     Cumulative risk curve A (main/transfer task A).
t_B                     Cumulative risk curve B (main/transfer task B).
t_I                     Cumulative risk curve I (introductory task).
txt                     Basic text elements.
txt_TF                  Alternative text labels (TP, FN, FP, TN).
txt_org                 List of original values of text elements.
write_popu              Write a population table (data) from a riskyr
                        scenario (description).
