Rendering Risk Literacy more Transparent

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_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_complement | Compute a probability's complement probability. |

comp_complete_prob_set | Compute a complete set of probabilities from valid... |

comp_comp_pair | Compute a probability's (missing) complement and return both. |

comp_err | Compute overall error rate (err) from probabilities. |

comp_fart | Compute a decision's false alarm rate from its specificity. |

comp_FDR | Compute a decision's false detection rate (FDR) from... |

comp_FOR | Compute a decision's false omission rate (FOR) from... |

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_NPV | Compute a decision's negative predictive value (NPV) from... |

comp_popu | Compute a population table from frequencies. |

comp_ppod | Compute the proportion of positive decisions (ppod) from... |

comp_PPV | Compute a decision's positive predictive value (PPV) from... |

comp_prev | Compute the condition's prevalence (baseline probability)... |

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... |

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... |

FDR | The false detection rate of a decision process or diagnostic... |

FOR | The false omission rate (FOR) of a decision process or... |

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_perc | Verify that input is a percentage (numeric value from 0 to... |

is_prob | Verify that input is a probability (numeric value from 0 to... |

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... |

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... |

mi | Frequency of misses or false negatives (FN). |

mirt | The miss rate of a decision process or diagnostic procedure. |

N | Number of individuals in the population. |

NPV | The negative predictive value of a decision process or... |

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)... |

pal_bwp | Alternative color palette for black-and-white graphs (for... |

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_area | Plot an area diagram of probabilities or frequencies. |

plot_bar | Plot bar charts of population frequencies. |

plot.box | Plot a frequency box object. |

plot_curve | Plot curves of selected values (e.g., PPV or NPV) as a... |

plot_fnet | Plot a network 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... |

plot_prism | Plot prism diagram of frequencies and probabilities. |

plot.riskyr | Plot a riskyr scenario. |

plot_tab | Plot a 2 x 2 contingency table of population frequencies. |

plot_tree | Plot a tree diagram of frequencies and probabilities. |

popu | A population table based on current frequencies. |

ppod | The proportion (or baseline) of a positive decision. |

PPV | The positive predictive value of a decision process or... |

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 a population (given as data frame) into a riskyr... |

riskyr | Create a riskyr scenario. |

riskyr.guide | Opens the riskyr package guides |

scenarios | A collection of riskyr scenarios from various sources (as... |

sens | The sensitivity (or hit rate) of a decision process or... |

spec | The specificity of a decision process or diagnostic... |

summary.riskyr | Summarize a riskyr scenario. |

txt | Basic text elements. |

txt_org | List of original values of text elements. |

txt_TF | Alternative text labels (TP, FN, FP, TN). |

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