flag: Calculation of lagged covariates
In gausscov: The Gaussian Covariate Method for Variable Selection
flag R Documentation
Calculation of lagged covariates
Description
Calculation of lagged covariates
Usage
flag(x,n,i,lag)
Arguments
x
The covariates
n
The sample size
i
The dependent variable
lag
The maximum lag
Value
y The ith covariate of x without a lag, the dependent varaible.
xl The covariates with lags from 1 :lag starting with the first covariate.
Examples
data(abcq)
abcql<-flag(abcq,240,1,16)
a<-f1st(abcql[[1]],abcql[[2]])
gausscov documentation built on Oct. 12, 2023, 1:06 a.m.
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| flag | R Documentation |
Calculation of lagged covariates
Description
Calculation of lagged covariates
Usage
flag(x,n,i,lag)
Arguments
x |
The covariates |
n |
The sample size |
i |
The dependent variable |
lag |
The maximum lag |
Value
y The ith covariate of x without a lag, the dependent varaible.
xl The covariates with lags from 1 :lag starting with the first covariate.
Examples
data(abcq)
abcql<-flag(abcq,240,1,16)
a<-f1st(abcql[[1]],abcql[[2]])
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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