FitPSpline: Fit Natural cubic spline with data points as knots (P-Spline)
In nclJoshCowley/PSplinesR: P-Splines in R
Description
Usage
Arguments
Value
View source: R/PSplineFunctions.R
Description
This will utilise the B-Spline functions in this package to fit a
P-Spline. That is, a cubic B-spline with interior and exterior knots
defined by each data point.
Usage
1
FitPSpline(x, y, lambda)
Arguments
x
Vector of data points.
y
Vector of observations
lambda
Smoothing parameter.
Value
Named list with the following components:
AlphaEst is a vector of estimated coefficients of the
regression model.
YEst is a vector of fitted values.
VarYEst is the dispersion matrix of the fitted value estimates.
nclJoshCowley/PSplinesR documentation built on Nov. 19, 2019, 10:29 a.m.
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Description Usage Arguments Value
View source: R/PSplineFunctions.R
Description
This will utilise the B-Spline functions in this package to fit a P-Spline. That is, a cubic B-spline with interior and exterior knots defined by each data point.
Usage
1 | FitPSpline(x, y, lambda)
|
Arguments
x |
Vector of data points. |
y |
Vector of observations |
lambda |
Smoothing parameter. |
Value
Named list with the following components:
AlphaEst is a vector of estimated coefficients of the
regression model.
YEst is a vector of fitted values.
VarYEst is the dispersion matrix of the fitted value estimates.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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