bsp: Tool to approximate smooth functions by B-splines.
In BayesGESM: Bayesian Analysis of Generalized Elliptical Semi-Parametric Models and Flexible Measurement Error Models
Description
Usage
Arguments
Details
Value
Author(s)
References
Description
bsp is used to approximate smooth functions by B-splines.
Usage
1
bsp(x,kn)
Arguments
x
values of the explanatory variable.
kn
(optional) the number of internal knots . The default value is [n^{1/5}], where n is the sample size
.
Details
This function uses the routine bs() of the R package splines.
Value
x
the B-spline basis matrix, which is cubic.
Author(s)
Luz Marina Rondon <[email protected]> and Heleno Bolfarine
References
De Boor, C. (1978). A practical Guide to Splines. Applied Mathematical Sciences. Springer-Verlag, New York.
BayesGESM documentation built on May 30, 2017, 2:53 a.m.
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Description Usage Arguments Details Value Author(s) References
Description
bsp is used to approximate smooth functions by B-splines.
Usage
1 | bsp(x,kn)
|
Arguments
x |
values of the explanatory variable. |
kn |
(optional) the number of internal knots . The default value is [n^{1/5}], where n is the sample size |
.
Details
This function uses the routine bs() of the R package splines.
Value
x |
the B-spline basis matrix, which is cubic. |
Author(s)
Luz Marina Rondon <[email protected]> and Heleno Bolfarine
References
De Boor, C. (1978). A practical Guide to Splines. Applied Mathematical Sciences. Springer-Verlag, New York.
BayesGESM documentation built on May 30, 2017, 2:53 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
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