learn_noise: Estimate a set of coefficients for the noise variance
In StevenGolovkine/simulater: Simulate functional data based on real datasets
View source: R/estimate_noise.R
learn_noise R Documentation
Estimate a set of coefficients for the noise variance
Description
This function estimates the noise variance by fitting a linear
model on the squared difference between the observed curves and their
smoothed version.
Usage
learn_noise(df)
Arguments
df
Dataframe containing the real dataset.
Value
An object of class 'gam' from the function mgcv::gam.
See Also
smooth.spline,
predict,
lm,
coef
Examples
## Not run:
if(interactive()){
attach(powerconsumption)
coefs <- learn_noise(df = powerconsumption)
}
## End(Not run)
StevenGolovkine/simulater documentation built on April 4, 2022, 5:04 a.m.
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View source: R/estimate_noise.R
| learn_noise | R Documentation |
Estimate a set of coefficients for the noise variance
Description
This function estimates the noise variance by fitting a linear model on the squared difference between the observed curves and their smoothed version.
Usage
learn_noise(df)
Arguments
df |
Dataframe containing the real dataset. |
Value
An object of class 'gam' from the function mgcv::gam.
See Also
smooth.spline,
predict,
lm,
coef
Examples
## Not run:
if(interactive()){
attach(powerconsumption)
coefs <- learn_noise(df = powerconsumption)
}
## End(Not run)
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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