lm_dr: Linear Regression with Drift
In schoi355/gmwm: Generalized Method of Wavelet Moments
lm_dr R Documentation
Linear Regression with Drift
Description
Perform a linear regression with drift.
Usage
lm_dr(x)
Arguments
x
A vec of length N x 1 containing the responses.
Value
A field<vec> with:
- coef
Coefficients
- resid
Residuals
- sigma2
Sigma^2
Examples
x = 1:10
y = cumsum(rep(.7,10))
lm_dr(y)[[1]]
coef(lm(y~x-1))
schoi355/gmwm documentation built on April 11, 2022, 1:21 a.m.
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| lm_dr | R Documentation |
Linear Regression with Drift
Description
Perform a linear regression with drift.
Usage
lm_dr(x)
Arguments
x |
A |
Value
A field<vec> with:
- coef
Coefficients
- resid
Residuals
- sigma2
Sigma^2
Examples
x = 1:10 y = cumsum(rep(.7,10)) lm_dr(y)[[1]] coef(lm(y~x-1))
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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