Description Usage Arguments Details Value See Also Examples

View source: R/comp_prob_prob.R

`comp_complete_prob_set`

is a function takes a
valid set of (3 to 5) probabilities as inputs (as a vector)
and returns the complete set of
(3 essential and 2 optional) probabilities.

1 2 |

`prev` |
The condition's prevalence |

`sens` |
The decision's sensitivity |

`mirt` |
The decision's miss rate |

`spec` |
The decision's specificity value |

`fart` |
The decision's false alarm rate |

Assuming that `is_valid_prob_set = TRUE`

this function uses `comp_comp_pair`

on the
two optional pairs (i.e.,
`sens`

and `mirt`

, and
`spec`

and `fart`

) and
returns the complete set of 5 probabilities.

A vector of 5 probabilities:
`c(prev, sens, mirt, spec, fart)`

.

`is_valid_prob_set`

verifies a set of probability inputs;
`is_extreme_prob_set`

verifies extreme cases;
`comp_comp_pair`

computes pairs of complements;
`is_complement`

verifies numeric complements;
`is_prob`

verifies probabilities;
`comp_prob`

computes current probability information;
`prob`

contains current probability information;
`init_num`

initializes basic numeric variables;
`num`

contains basic numeric variables.

Other functions computing probabilities: `comp_FDR`

,
`comp_FOR`

, `comp_NPV`

,
`comp_PPV`

, `comp_accu_freq`

,
`comp_accu_prob`

, `comp_acc`

,
`comp_comp_pair`

,
`comp_complement`

, `comp_err`

,
`comp_fart`

, `comp_mirt`

,
`comp_ppod`

, `comp_prob_freq`

,
`comp_prob`

, `comp_sens`

,
`comp_spec`

1 2 3 4 5 6 7 8 9 | ```
# ways to work:
comp_complete_prob_set(1, .8, NA, .7, NA) # => 1.0 0.8 0.2 0.7 0.3
comp_complete_prob_set(1, NA, .8, NA, .4) # => 1.0 0.2 0.8 0.6 0.4
# watch out for:
comp_complete_prob_set(8) # => 8 NA NA NA NA + warnings
comp_complete_prob_set(8, 7, 6, 5, 4) # => 8 7 6 5 4 + no warning (valid set assumed)
comp_complete_prob_set(8, .8, NA, .7, NA) # => 8.0 0.8 0.2 0.7 0.3 + no warning (sic)
comp_complete_prob_set(8, 2, NA, 3, NA) # => 8 2 NA 3 NA + no warning (sic)
``` |

riskyr documentation built on Jan. 3, 2019, 1:06 a.m.

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