f1bsf: Stepwise selection of interval covariates in non-paametric...
In gausscov: The Gaussian Covariate Method for Variable Selection
f1bsf R Documentation
Stepwise selection of interval covariates in non-paametric regression
Description
Stepwise selection of interval covariates in non-paametric regression
Usage
f1bsf(y,k,lam,pr=0.5,mm=20,p0=0.01)
Arguments
y
Dependent variable
k
Length odf smallest interval
lam
Factor for increasing size of intervals
pr
Proportional incerease in size of sample to reduce edge effects
mm
Parameter of fgentrig for the number of trigonometric functions
p0
Gaussian P-value threshold
Value
pv ff The approximation
res The residuals
Examples
data(vardata)
a<-f1bsf(vardata[,70],4,1.1,pr=0,mm=10)
gausscov documentation built on June 11, 2025, 5:09 p.m.
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| f1bsf | R Documentation |
Stepwise selection of interval covariates in non-paametric regression
Description
Stepwise selection of interval covariates in non-paametric regression
Usage
f1bsf(y,k,lam,pr=0.5,mm=20,p0=0.01)
Arguments
y |
Dependent variable |
k |
Length odf smallest interval |
lam |
Factor for increasing size of intervals |
pr |
Proportional incerease in size of sample to reduce edge effects |
mm |
Parameter of fgentrig for the number of trigonometric functions |
p0 |
Gaussian P-value threshold |
Value
pv ff The approximation
res The residuals
Examples
data(vardata)
a<-f1bsf(vardata[,70],4,1.1,pr=0,mm=10)
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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