print method for ‘monpol’ objects.
● Data Source:
CranContrib
● Keywords: print
● Alias: print.monpol
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predict.monpol
(Package: MonoPoly) :
Predicting from Monotone Polynomial Fits
predict.monpol produces predicted values, obtained by evaluating the monotone polynomial in the frame newdata.
● Data Source:
CranContrib
● Keywords: models, nonlinear, regression
● Alias: predict.monpol
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Function to check whether a polynomial is montone over a given interval.
● Data Source:
CranContrib
● Keywords: utitlities
● Alias: ismonotone, ismonotone.default, ismonotone.monpol
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model.matrix creates a design (or model) matrix for ‘monpol’ objects.
● Data Source:
CranContrib
● Keywords: models
● Alias: model.matrix.monpol
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Function to evaluate the curvature of polynomials
● Data Source:
CranContrib
● Keywords: regression, utilities
● Alias: curvPol
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This is the basic computing engine called by monpol used to fit monotonic polynomials. These should usually not be used directly unless by experienced users.
● Data Source:
CranContrib
● Keywords: models, nonlinear, regression
● Alias: SOSpol.fit, monpol.fit
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0 images
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Function to evaluate polynomials in a numerical robust way using the Horner scheme
● Data Source:
CranContrib
● Keywords: regression, utilities
● Alias: evalPol
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monpol
(Package: MonoPoly) :
Monotone Polynomials
Determine the least-squares estimates of the parameters of a monotone polynomial
● Data Source:
CranContrib
● Keywords: models, nonlinear, regression
● Alias: monpol
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Allow the user to set some characteristics of the monpol monotone polynomial fitting algorithm.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: monpol.control
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coef method for ‘monpol’ objects.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: coef.monpol
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providing 
.