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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.
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