m.spline.x: M_splines basis
In SPREDA: Statistical Package for Reliability Data Analysis
Description
Usage
Arguments
Value
Author(s)
References
See Also
Examples
Description
Creation of M_splines basis
Usage
1
m.spline.x(x, tt, i, k)
Arguments
x
a value of the covariate
tt
values of knot sequence of the covariate
i
the i_th M_spline function
k
degree of the spline
Value
m.spline.x returns a value of M_spline basis value for x in i_th spline degree of k
Author(s)
Yili Hong
References
Hong. Y., Y. Duan, W. Q. Meeker, D. L. Stanley, and X. Gu (2014), Statistical Methods for Degradation Data with Dynamic Covariates Information and an Application to Outdoor Weathering Data, Technometrics, DOI: 10.1080/00401706.2014.915891.
See Also
Examples
1
m.spline.x(x=0.3, tt=c(0, 0, 0, 0.3, 0.6, 0.8, 1, 1, 1 ), i=2, k=3)
SPREDA documentation built on May 2, 2019, 4 p.m.
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Description Usage Arguments Value Author(s) References See Also Examples
Description
Creation of M_splines basis
Usage
1 | m.spline.x(x, tt, i, k)
|
Arguments
x |
a value of the covariate |
tt |
values of knot sequence of the covariate |
i |
the i_th M_spline function |
k |
degree of the spline |
Value
m.spline.x returns a value of M_spline basis value for x in i_th spline degree of k
Author(s)
Yili Hong
References
Hong. Y., Y. Duan, W. Q. Meeker, D. L. Stanley, and X. Gu (2014), Statistical Methods for Degradation Data with Dynamic Covariates Information and an Application to Outdoor Weathering Data, Technometrics, DOI: 10.1080/00401706.2014.915891.
See Also
Examples
1 | m.spline.x(x=0.3, tt=c(0, 0, 0, 0.3, 0.6, 0.8, 1, 1, 1 ), i=2, k=3)
|
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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