This is the smoothers Reference Manual, version 1.0, generated automatically by Declt version 4.0 beta 2 "William Riker" on Sun Dec 15 07:44:03 2024 GMT+0.
The main system appears first, followed by any subsystem dependency.
smoothersStatistical methods to create approximating functions that attempt to capture important patterns in the data, while leaving out noise or other fine-scale structures/rapid phenomena.
Statistical Smoothing Functions
Steve Nunez <steve@symbolics.tech>
(GIT https://github.com/Lisp-Stat/smoothers.git)
MS-PL
Smoothing is a relatively large field and includes many techniques. Wikipedia says:
"In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine-scale structures/rapid phenomena."
A great number of the techniques require linear algebra, and thus a dependency on Lisp Linear Algebra (LLA). For these this reason smoothers is an independent system.
1.0
alexandria (system).
alexandria+ (system).
array-operations (system).
num-utils (system).
lla (system).
pkgdcls.lisp (file).
license (file).
lowess.lisp (file).
Files are sorted by type and then listed depth-first from the systems components trees.
Packages are listed by definition order.
smoothersSMOOTHERS is a facility to generate approximating functions from noisy data.
alexandria.
alexandria+.
common-lisp.
let-plus.
num-utils.
select.
lowess (function).
Definitions are sorted by export status, category, package, and then by lexicographic order.
Lowess smoother (robust locally weighted regression).
Fits a nonparametric regression curve to a scatterplot.
Parameters
———-
y, x : vector
The arrays x and y contain an equal number of elements; each pair (x[i], y[i]) defines a data point in the scatterplot.
f : real
The smoothing span. A larger value will result in a smoother curve.
iter : integer
The number of robustifying iterations. The function will run faster with a smaller number of iterations.
Returns
——-
yest : vector
The estimated (smooth) values of y.
| Jump to: | F L |
|---|
| Index Entry | Section | ||
|---|---|---|---|
| | |||
| F | |||
Function, lowess: | Public ordinary functions | ||
| | |||
| L | |||
lowess: | Public ordinary functions | ||
| | |||
| Jump to: | F L |
|---|
| Jump to: | F L P S |
|---|
| Jump to: | F L P S |
|---|