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To cite the 'MonoPoly' package in publications use: 2016 for the sum of squares parameterisation; 2013 for Elphinstone type parameterisations or Hawkins' algorithm
Turlach BA, Murray K (2019). MonoPoly: Functions to Fit Monotone Polynomials. R package version 0.3-10.
Murray K, Müller S, Turlach BA (2016). “Fast and flexible methods for monotone polynomial fitting.” Journal of Statistical Computation and Simulation, 86(15), 2946–2966. http://doi.org/10.1080/00949655.2016.1139582.
Murray K, Müller S, Turlach BA (2013). “Revisiting fitting monotone polynomials to data.” Computational Statistics, 28(5), 1989–2005. http://doi.org/10.1007/s00180-012-0390-5.
Corresponding BibTeX entries:
@Manual{, title = {MonoPoly: Functions to Fit Monotone Polynomials}, author = {B. A. Turlach and K. Murray}, year = {2019}, note = {R package version 0.3-10}, }
@Article{, author = {K. Murray and S. M{\"u}ller and B. A. Turlach}, title = {Fast and flexible methods for monotone polynomial fitting}, journal = {Journal of Statistical Computation and Simulation}, year = {2016}, volume = {86}, number = {15}, pages = {2946--2966}, url = {http://doi.org/10.1080/00949655.2016.1139582}, }
@Article{, author = {K. Murray and S. M{\"u}ller and B. A. Turlach}, title = {Revisiting fitting monotone polynomials to data}, journal = {Computational Statistics}, year = {2013}, volume = {28}, number = {5}, pages = {1989--2005}, url = {http://doi.org/10.1007/s00180-012-0390-5}, }
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.