Locations problems, M-estimates of coefficients and scale
in linear regression, Weights for bounded influence regression,
Covariance matrix of the coefficient estimates, Asymptotic
relative efficiency of regression M-estimates, Robust testing
in linear models, High breakdown point regression, M-estimates
of covariance matrices, M-estimates for discrete generalized
linear models.

Forecasting Time Series with Robust Exponential Smoothing
We provide an outlier robust alternative of the function ets() in the 'forecast' package of Hyndman and Khandakar (2008)<DOI:10.18637/jss.v027.i03>. For each method of a class of exponential smoothing variants we made a robust alternative. The class includes methods with a damped trend and/or seasonal components. The robust method is developed by robustifying every aspect of the original exponential smoothing variant. We provide robust forecasting equations, robust initial values, robust smoothing parameter estimation and a robust information criterion. The method is described in more detail in Crevits and Croux (2016)<DOI:10.13140/RG.2.2.11791.18080>.

c(person("Ruben","Crevits",role=c("aut","cre"),email = "ruben.crevits@gmail.com"),person("Christoph", "Bergmeir", role="aut"), person("Rob", "Hyndman", role=c("aut")), person("Ross","Ihaka", role = c("ctb")), person("R","Core Team", role = c("ctb")))
We provide an outlier robust alternative of the function ets() in the 'forecast' package of Hyndman and Khandakar (2008) <DOI:10.18637/jss.v027.i03>. For each method of a class of exponential smoothing variants we made a robust alternative. The class includes methods with a damped trend and/or seasonal components. The robust method is developed by robustifying every aspect of the original exponential smoothing variant. We provide robust forecasting equations, robust initial values, robust smoothing parameter estimation and a robust information criterion. The method is described in more detail in Crevits and Croux (2016) <DOI:10.13140/RG.2.2.11791.18080>.
Ruben Crevits [aut, cre],
Christoph Bergmeir [aut],
Rob Hyndman [aut],
Ross Ihaka [ctb],
R Core Team [ctb]