evaluate2DNonParamRegression: 2D Nonparametric Regression (Kernel Smoothing)
In lindesaysh/dcap: DCAP (Dynamic Cetacean Abundance Prediction)
Usage
1
evaluate2DNonParamRegression(p, y, loc, Y, h_values, ind)
Arguments
p
(x, y) coordinates at which to calculate the regression estimate.
y
Original value of the parameter associated with the point p}}
\item{loc}{locations (matrix of coordinates)}
\item{Y}{data to be smoothed}
\item{h_values}{bandwidths}
\item{ind}{index of points to use to calculate the regression estimate}
}
{
A function to calculate the regression estimate for each point p and bandwiths h1 and h2. Taken from A.W. Bowman and A. Azzalini, "Applied Smoothing Techniques for Data Analysis", Oxford, Clarendon Press, 1997, pag. 53
}
{
Lindesay Scott-Hayward
}
lindesaysh/dcap documentation built on May 28, 2019, 11:34 a.m.
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Usage
1 | evaluate2DNonParamRegression(p, y, loc, Y, h_values, ind)
|
Arguments
p |
(x, y) coordinates at which to calculate the regression estimate. |
y |
Original value of the parameter associated with the point p}} \item{loc}{locations (matrix of coordinates)} \item{Y}{data to be smoothed} \item{h_values}{bandwidths} \item{ind}{index of points to use to calculate the regression estimate} } { A function to calculate the regression estimate for each point p and bandwiths h1 and h2. Taken from A.W. Bowman and A. Azzalini, "Applied Smoothing Techniques for Data Analysis", Oxford, Clarendon Press, 1997, pag. 53 } { Lindesay Scott-Hayward } |
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