airPLS-function: adaptive iteratively reweighted penalized least squares
In zmzhang/airPLS_R: adaptive iteratively reweighted Penalized Least Squares for baseline correction
airPLS-function R Documentation
adaptive iteratively reweighted penalized least squares
Description
adaptive iteratively reweighted penalized least squares for baseline fitting
Usage
airPLS(x,lambda=10,differences=1, itermax=20)
Arguments
x
spectrum
lambda
lambda is an adjustable parameter, it can be adjusted by user. The larger lambda is, the smoother z will be
differences
an integer indicating the order of the difference of penalties
Value
the fitted vector
Author(s)
Yizeng Liang ,Zhang Zhimin
See Also
WhittakerSmooth
zmzhang/airPLS_R documentation built on Aug. 5, 2023, 8:24 a.m.
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| airPLS-function | R Documentation |
adaptive iteratively reweighted penalized least squares
Description
adaptive iteratively reweighted penalized least squares for baseline fitting
Usage
airPLS(x,lambda=10,differences=1, itermax=20)
Arguments
x |
spectrum |
lambda |
lambda is an adjustable parameter, it can be adjusted by user. The larger lambda is, the smoother z will be |
differences |
an integer indicating the order of the difference of penalties |
Value
the fitted vector
Author(s)
Yizeng Liang ,Zhang Zhimin
See Also
WhittakerSmooth
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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