algo_leverage: algorithmic leveraging for linear regression using uniform...
In xysxu/hwyx:
Description
Usage
Arguments
Value
Examples
Description
algorithmic leveraging for linear regression using uniform and leverage score based subsampling of rows
Usage
1
algo_leverage(x, y, r, methods)
Arguments
x
independent variable
y
dependent variable
r
subsample size
methods
"UNIF", "BLEV" uniformly or proportionally(leverage scores) sample
Value
estimation of parameter beta in y=beta*x
Examples
1
2
3
4
e = rnorm(500,0,1)
x = rt(500, df = 6)
y = -x+e
algo_leverage(x, y, r=10, methods="UNIF")
xysxu/hwyx documentation built on June 6, 2019, 7:55 a.m.
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Description Usage Arguments Value Examples
Description
algorithmic leveraging for linear regression using uniform and leverage score based subsampling of rows
Usage
1 | algo_leverage(x, y, r, methods)
|
Arguments
x |
independent variable |
y |
dependent variable |
r |
subsample size |
methods |
"UNIF", "BLEV" uniformly or proportionally(leverage scores) sample |
Value
estimation of parameter beta in y=beta*x
Examples
1 2 3 4 | e = rnorm(500,0,1)
x = rt(500, df = 6)
y = -x+e
algo_leverage(x, y, r=10, methods="UNIF")
|
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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