Supplementary material to A robust approach for generalized linear models based on maximum Lq-likelihood procedure by Felipe Osorio, Manuel Galea and Patricia Gimenez

Code written by: 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)

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

Other attached packages (updated): robustbase-0.95

CONTENTS:

• case_study/case_Finney.R: R commands for the analysis of Finney's dataset.
• case_study/suppl_Finney.R: R commands for additional result reported in the Supplementary Material (Section 6)
• code/envelope.R: R functions for computation of QQ-plots with simulated envelopes.
• code/qopt.R: R function for the selection of distortion parameter 'q'.
• code/robLogistic.R: R functions for robust estimation in the logistic regression model (used to analyse Finney's data).
• code/robLogLin.R: R functions for robust estimation in the log-linear regression model (used in simulation experiment).
• data/finney.csv: transient vasoconstriction (or Finney's) dataset in CSV format.
• data/finney.rda: transient vasoconstriction (or Finney's) dataset in RDA format.
• simul/simul_Poi.R: R function to setting the model, data contamination and fitting log-linear models.
• simul/simulation.R: R commands to perform the Monte Carlo simulation study.
• README.md: this file.