faosorios / CCC

Local influence for the analysis of agreement

Local influence for the analysis of agreement

Supplementary material to Assessment of local influence for the analysis of agreement by Carla Leal, Manuel Galea and Felipe Osorio (Biometrical Journal 61 (4), 955-972. DOI: 10.1002/bimj.20180012)

Code written by: Carla Leal and Felipe Osorio

Correspondence author: Felipe Osorio, Email: [e-mail]

Code tested on:

• R under development (2018-02-21 r74285), running Linux Mint 18.3 (64 bits)
• R version 3.3.0, running OS X 10.13.4 (64 bits)
• R version 3.4.3, running Windows 10 (64 bits)

Attached base packages: stats, graphics, grDevices, utils, datasets, methods, base

Other attached packages (updated): fastmatrix-0.4-1245

CONTENTS:

• case_study/case_study.R: R commands for the analysis of transient sleep disorder dataset (described/analyzed at Sections 2.1 and 5 from manuscript).
• code/ccc.R: R functions for estimation and confidence intervals for the CCC.
• code/ccc.influence.R: R functions to compute influence measures for the CCC.
• code/poa.R: R functions for estimation and confidence intervals for the probability of agreement.
• code/poa.influence.R: R functions to compute influence measures for the probability of agreement.
• data/PSG.rda: clinical trial on transient sleep disorder dataset.
• simulation/ccc.simul.R: R function to compute the outlier detection percentage using different influence measures: CCC as objective function.
• simulation/poa.simul.R: R function to compute the outlier detection percentage using different influence measures: probability of agreement as objective function.
• simulation/simulation.R: R commands to perform the simulation study described at Section 4 from manuscript.
• supplement/ccc.2points.R: R functions to compute the outlier detection percentage using CCC as objective function (see Supplementary material).
• supplement/poa.2points.R: R functions to compute the outlier detection percentage using the probability of agreement as objective function (see Supplementary material).
• supplement/additional.simul.R: R commands to perform the additional simulation experiment described in the Supplementary material.
• ccc-manual.pdf: reference manual describing the functions included in files 'ccc.R', 'poa.R', 'ccc.influence.R' and 'poa.influence.R'
• README.md: this file.