This pakage for R implements the simex procedure developed by Cook & Stefanski for dealing with measurement error models, as well as the mcsimex for misclassified data developed by Küchenhoff, Mwalili and Lesaffre.
It can be found on [CRAN] (https://cran.r-project.org/web/packages/simex/index.html) and installed with
The most current version can be installed via
coxphfrom survival is now supported (Rasmus Froberg Brøndum) & PR by Heidi
(by Wolfgang Lederer)
polrfrom library MASS) (Chris Lawrence)
(by Heidi Seibold & Wolfgang Lederer)
(by Ph. Grosjean firstname.lastname@example.org)
Küchenhoff, H., Mwalili, S. M. and Lesaffre, E. (2006) A general method for dealing with misclassification in regression: The Misclassification SIMEX. Biometrics, 62, 85 – 96
Küchenhoff, H., Lederer, W. and E. Lesaffre. (2006) Asymptotic Variance Estimation for the Misclassification SIMEX. Computational Statistics and Data Analysis, 51, 6197 – 6211
Lederer, W. and Küchenhoff, H. (2006) A short introduction to the SIMEX and MCSIMEX. R News, 6(4), 26–31
Cook, J.R. and Stefanski, L.A. (1994) Simulation-extrapolation estimation in parametric measurement error models. Journal of the American Statistical Association, 89, 1314 – 1328
Carroll, R.J., Küchenhoff, H., Lombard, F. and Stefanski L.A. (1996) Asymptotics for the SIMEX estimator in nonlinear measurement error models. Journal of the American Statistical Association, 91, 242 – 250
Carrol, R.J., Ruppert, D., Stefanski, L.A. and Crainiceanu, C. (2006). Measurement error in nonlinear models: A modern perspective., Second Edition. London: Chapman and Hall.