rcmiv: IV approach when X&Y have independent measurement error with...
In lxinhui/RCMIV: A IV method simultaneously addressing unobserved confounding and measurement errors in both treatment and outcome
Description
Usage
Arguments
Value
Author(s)
Description
IV approach when X&Y have independent measurement error with continuous IV
Usage
1
rcmiv(g, x1, x2, y1, y2)
Arguments
g
A numeric vector of instrumental variable.
x1
A numeric vector of the first measurement of X
x2
A numeric vector of the second measurement of X
y1
A numeric vector of the first measurement of Y
y2
A numeric vector of the second measurement of Y
Value
A vector of causal effect estimate, bootstrap SE and 95
Author(s)
Xinhui Liu
lxinhui/RCMIV documentation built on May 17, 2020, 12:23 a.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
Description
IV approach when X&Y have independent measurement error with continuous IV
Usage
1 | rcmiv(g, x1, x2, y1, y2)
|
Arguments
g |
A numeric vector of instrumental variable. |
x1 |
A numeric vector of the first measurement of X |
x2 |
A numeric vector of the second measurement of X |
y1 |
A numeric vector of the first measurement of Y |
y2 |
A numeric vector of the second measurement of Y |
Value
A vector of causal effect estimate, bootstrap SE and 95
Author(s)
Xinhui Liu
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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