# mi: Frequency of misses or false negatives (FN). In riskyr: Rendering Risk Literacy more Transparent

## Description

`mi` is the frequency of misses or false negatives (`FN`) in a population of `N` individuals.

## Usage

 `1` ```mi ```

## Format

An object of class `numeric` of length 1.

## Details

Definition: `mi` is the frequency of individuals for which `Condition = TRUE` and `Decision = FALSE` (negative).

`mi` is a measure of incorrect classifications (type-II errors), not an individual case.

Relationships:

1. to probabilities: The frequency `mi` depends on the miss rate `mirt` (aka. false negative rate, FNR) and is conditional on the prevalence `prev`.

2. to other frequencies: In a population of size `N` the following relationships hold:

• `N = cond_true + cond_false` (by condition)

• `N = dec_pos + dec_neg` (by decision)

• `N = dec_cor + dec_err` (by correspondence of decision to condition)

• `N = hi + mi + fa + cr` (by condition x decision)

`mirt` is the probability or rate of misses; `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; `is_freq` verifies frequencies.
Other essential parameters: `cr`, `fa`, `hi`, `prev`, `sens`, `spec`
Other frequencies: `N`, `cond_false`, `cond_true`, `cr`, `dec_cor`, `dec_err`, `dec_neg`, `dec_pos`, `fa`, `hi`