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Local influence for the analysis of agreement

R fastmatrix DOI

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: [email protected]

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.