All functions

dV()

Theoretical density for lineups under different scenarios

dVis() pVis() qVis()

Visual Inference for different Lineup Scenarios under a Dirichlet Model

dVsim()

Simulation based density for visual inference

estimate_alpha_numeric()

Numerically estimate alpha using the average number of c-interesting panels

estimate_alpha_visual()

Create a plot for visual estimation of alpha

expected_number_panels()

Compute the expected number of c-interesting panels for a lineup experiment

observed_band()

Add a band corresponding to the observed number of interesting panels to the visual estimation plot

pV()

Theoretical distribution for lineups under different scenarios

pVsim()

Bootstrap based p values for visual inference

qV()

Theoretical quantile for lineups under different scenarios

rVis()

Functions to produce visual estimate of alpha Simulate results from a lineup evaluation experiment using the Dirichlet-Multinomial model

sim_interesting_panels()

Simulate the number of c-interesting panels for a lineup experiment

dmulti() pmulti() qmulti()

Simulation based density and distribution functions of visual inference under a multiple choice lineup