`dec_pos`

is a frequency that describes the
number of individuals in the current population `N`

for which the decision is positive (i.e., called or predicted cases).

`dec_pos`

An object of class `numeric`

of length 1.

Key relationships:

to probabilities: The frequency of

`dec_pos`

individuals depends on the population size`N`

and the decision's proportion of positive decisions`ppod`

and is split further into two subsets of`hi`

by the positive predictive value`PPV`

and`fa`

by the false detection rate`FDR = 1 - PPV`

.Perspectives:

by condition:

The frequency

`dec_pos`

is determined by the population size`N`

times the proportion of positive decisions`ppod`

:by decision:

a. The frequency

`hi`

is determined by`dec_pos`

times the positive predictive value`PPV`

(aka.`precision`

):b. The frequency

`fa`

is determined by`dec_pos`

times the false detection rate`FDR = (1 - PPV)`

:

to other frequencies: In a population of size

`N`

the following relationships hold:

Current frequency information is computed by
`comp_freq`

and contained in a list
`freq`

.

Consult Wikipedia: Confusion matrix for additional information.

`is_freq`

verifies frequencies;
`num`

contains basic numeric parameters;
`init_num`

initializes basic numeric parameters;
`freq`

contains current frequency information;
`comp_freq`

computes current frequency information;
`prob`

contains current probability information;
`comp_prob`

computes current probability information.

Other frequencies: `N`

,
`cond_false`

, `cond_true`

,
`cr`

, `dec_cor`

,
`dec_err`

, `dec_neg`

,
`fa`

, `hi`

, `mi`

#> [1] TRUE#> [1] FALSE