Description Usage Arguments Value References Examples
View source: R/MIC.splines.basis.fast.R
This function provides C implementation for the computing of monotonic spline bases, including M-splines, I-splines, and C-splines, denoted by MIC splines. The definitions of the spline bases are described in Meyer (2008).
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x |
A numeric vector for the data to generate spline bases for. |
df |
The degree of freedom, which equals to the number of interior knots plus the spline degree. |
knots |
A vector for the interior knots. |
boundary.knots |
The values for the left and right boundary points. |
type |
The type of splines to be computed. |
degree |
The degree for the M-splines. I-splines are based on the integration of the M-splines, and C-splines are based on the integration of the I-splines. |
delta |
A numeric value that is used to set the bin width for numerical integration. Usually it is set to a small number. |
eq.alloc |
A logic variable, which is true if using equal spacing for the interior knots, and is false if using equal quantiles for the interior knots. |
A list with format, list(mat, x, ...)
. Here mat
is the matrix for the spline bases, x
is the vector for the data, and the rest of the items are carrying the information from the arguments.
Meyer, M. C. (2008). Inference using shape-restricted regression splines. The Annals of Applied Statistics 2, 1013-1033.
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