smoother_functions: Smoother functions
In princurve: Fit a Principal Curve in Arbitrary Dimension
Description
Each of these functions have an interface function(lambda, xj, ...), and
return smoothed values for xj. The output is expected to be ordered along an ordered lambda.
This means that the following is true:
1
2
3
4
5
x <- runif(100)
y <- runif(100)
ord <- sample.int(100)
sfun <- smoother_functions[[1]]
all(sfun(x, y) == sfun(x[ord], y[ord]))
Usage
1
Format
An object of class list of length 3.
princurve documentation built on Jan. 18, 2021, 5:06 p.m.
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Description
Each of these functions have an interface function(lambda, xj, ...), and
return smoothed values for xj. The output is expected to be ordered along an ordered lambda.
This means that the following is true:
1 2 3 4 5 | x <- runif(100)
y <- runif(100)
ord <- sample.int(100)
sfun <- smoother_functions[[1]]
all(sfun(x, y) == sfun(x[ord], y[ord]))
|
Usage
1 |
Format
An object of class list of length 3.
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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