rt_raw_gain: Raw-gain flagging (the common practice, as a baseline)

In retestR: Model-Based Anomaly Detection for Repeat Test-Takers

Raw-gain flagging (the common practice, as a baseline)

Description

Raw-gain flagging (the common practice, as a baseline)

Usage

rt_raw_gain(data, threshold = 0.2)

Arguments

data	An 'rt_data' or 'rt_sim'.
threshold	Flag gains in proportion correct at or above this value.

Value

Data frame: 'person', 'p1', 'p2', 'gain', 'flag'.

Examples

sim <- rt_simulate(n_persons = 200, form_exposed = 20, form_new = 10, seed = 1)
raw <- rt_raw_gain(sim, threshold = 0.2)
# raw gains also flag honest candidates who remediated
table(flagged = raw$flag, remediation = sim$truth$remediation)

retestR documentation built on Oct. 8, 2026, 5:08 p.m.