NHLloess: Locally weighted regression smoothing
In jedalong/nhlmodelr:
Description
Usage
Arguments
Details
Value
Description
Wrapper function for computing locally weigthed regression smoothing of NHL shot data, for comparison with the output NHL model values.
Usage
1
NHLloess(model, alpha = 0.05)
Arguments
model
a dataframe, specifically, ouput from the function NHLmodel.
alpha
the smoothing parameter; see ?loess
Details
Will be expanded later on.
Value
A NHLmodel dataframe with an additional column - loess the local regression values.
jedalong/nhlmodelr documentation built on May 25, 2019, 6:23 p.m.
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Description Usage Arguments Details Value
Description
Wrapper function for computing locally weigthed regression smoothing of NHL shot data, for comparison with the output NHL model values.
Usage
1 | NHLloess(model, alpha = 0.05)
|
Arguments
model |
a dataframe, specifically, ouput from the function |
alpha |
the smoothing parameter; see |
Details
Will be expanded later on.
Value
A NHLmodel dataframe with an additional column - loess the local regression values.
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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