smothr produces smoothed values with constraints.
This function is used in each step of the iterative procedure for ACE, but can be called directly when it is necessary to smooth a set of values. Note that the x values must be non decreasing.
Breiman, L. and Friedman, J.H. (1985), Estimating optimal transformations for multiple regression and correlation, "Journal of the American Statistical Association", Vol. 80, pp. 580-597.
Wang D. and Murphy M. (2005), Identifying nonlinear relationships regression using the ACE algorithm, "Journal of Applied Statistics", Vol. 32, pp. 243-258.
Friedman, J.H. (1984), A variable span scatterplot smoother. Laboratory for Computational Statistics, Stanford University, Technical Report No. 5.
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simulateTS |
Smult |
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Functions |
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