func_size.boot: Bootstrapped Functional Size

In tmnaylor/r4lineups: Statistical Inference on Lineup Fairness

Description

This function is a base function for the bootstrapping that ensues to compute bootstrapped confidence intervals for the estimate of functional size

Usage

func_size.boot(lineup_vec, d = d, target_pos)

Arguments

lineup_vec	A numeric vector of lineup choices
d	Indices for bootstrap resampling
target_pos	A scalar, representing position of target in lineup. Must be declared by user

Details

Function is called bootstrap resampling using boot function (in package 'boot') This function is never called by the user - it is called in the functional size master function

References

Davison, A.C. & Hinkley, D.V. (1997). Bootstrap methods and their application. Cambridge University Press.

Tredoux, C. G. (1998). Statistical inference on measures of lineup fairness. Law and Human Behavior, 22(2), 217-237.

Tredoux, C. (1999). Statistical considerations when determining measures of lineup size and lineup bias. Applied Cognitive Psychology, 13, S9-S26.

Wells, G. L.,Leippe, M. R., & Ostrom, T. M. (1979). Guidelines for empirically assessing the fairness of a lineup. Law and Human Behavior, 3(4), 285-293.

See Also

boot: https://cran.r-project.org/web/packages/boot/boot.pdf

tmnaylor/r4lineups documentation built on May 10, 2019, 8:30 a.m.