Detection of Outliers in Time Series (tsoutliers)
Detection of outliers in time series following the Chen and Liu (1993) procedure. Innovative outliers, additive outliers, level shifts, temporary changes and seasonal level shifts are considered.
Linear and Nonlinear Mixed Effects Models (nlme)
Fit and compare Gaussian linear and nonlinear mixed-effects models.
Tools to Fit Flexible Parametric Curves (FlexParamCurve)
Model selection tools and ‘selfStart’ functions to fit parametric curves in ‘nls’, ‘nlsList’ and ‘nlme’ frameworks.