`err`

defines the error rate as the complement of
accuracy `acc`

or lack of correspondence
of decisions to conditions.

`err`

An object of class `numeric`

of length 1.

Definition:

`err = (1 - acc)`

When `freq`

are not rounded (`round = FALSE`

) then

`err`

is currently not included in `prob`

,
but shown in plots.

See `err`

's complement of accuracy `acc`

for computation and
`accu`

for current accuracy metrics
and several possible interpretations of accuracy.

`acc`

provides overall accuracy;
`comp_acc`

computes accuracy from probabilities;
`accu`

lists current accuracy metrics;
`comp_accu_prob`

computes exact accuracy metrics from probabilities;
`comp_accu_freq`

computes accuracy metrics from frequencies;
`comp_sens`

and `comp_PPV`

compute related probabilities;
`is_extreme_prob_set`

verifies extreme cases;
`comp_complement`

computes a probability's complement;
`is_complement`

verifies probability complements;
`comp_prob`

computes current probability information;
`prob`

contains current probability information;
`is_prob`

verifies probabilities.

Other probabilities: `FDR`

, `FOR`

,
`NPV`

, `PPV`

, `acc`

,
`fart`

, `mirt`

,
`ppod`

, `prev`

,
`sens`

, `spec`

Other metrics: `accu`

, `acc`

,
`comp_accu_freq`

,
`comp_accu_prob`

, `comp_acc`

,
`comp_err`

err <- .50 # sets a rate of incorrect decisions of 50% err <- 50/100 # (dec_err) for 50 out of 100 individuals is_prob(err) # TRUE#> [1] TRUE