This package is for fitting free-knot splines for data with one independent variable and one dependent variable. Four free-knot spline algorithms are provided for the case where the number of knots is known in advance. A knot-search algorithm is provided for the case where the number of knots is not known in advance. In addition, methods are available to compute the fitted values, the residuals, and the coefficients of the splines, and to plot the results, along with a method to summarize the results.
|Author||Steven Spiriti <email@example.com>, Philip Smith <firstname.lastname@example.org>, Pierre Lecuyer <lecuyer@iro.UMontreal.ca>,|
|Date of publication||2012-10-04 20:58:12|
|Maintainer||Steven Spiriti <email@example.com>|
|License||GPL (>= 2)|
chgbasismat: Compute Change-of-Basis Matrix to Convert Truncated Power...
coef.freekt: Compute Coefficients of B-Splines For Free-Knot Splines
fitcriteria: Fit Criteria for Free-Knot Splines
fit.search.numknots: Perform a Search on the Number of Knots and Fit Free-Knot...
fitted.freekt: Compute Fitted Values For Free-Knot Spline
freeknotfit: Fit Free-Knot Splines To Data
freeknotsplines: Free-Knot Splines
plot.freekt: Plot Fitted Values for Free-Knot Spline
residuals.freekt: Compute Residuals For Free-Knot Spline
summary.freekt: Summarize Free-Knot Spline Fit