get.extrema: Fast solution to obtain extrema of IPW estimator in missing...
In qingyuanzhao/bootsens: Bootstrapping sensitivity analysis
Description
Usage
Arguments
Value
Description
Fast solution to obtain extrema of IPW estimator in missing data
problems
Usage
1
get.extrema(A, X, Y, gamma = 0, fitted.prob, estimand = c("all", "missing"))
Arguments
A
Indicator of missingness
X
A matrix of covariates
Y
Outcome
gamma
Sensitivity parameter (log odds ratio)
fitted.prob
Fitted propensity score
estimand
Target estimand, either E[Y] ("all") or E[Y|A=0] ("missing")
discrete
Are the data (both X and Y) discrete?
Value
Extrema (an interval) of the IPW estimator.
qingyuanzhao/bootsens documentation built on Jan. 17, 2021, 7:40 p.m.
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Description Usage Arguments Value
Description
Fast solution to obtain extrema of IPW estimator in missing data problems
Usage
1 | get.extrema(A, X, Y, gamma = 0, fitted.prob, estimand = c("all", "missing"))
|
Arguments
A |
Indicator of missingness |
X |
A matrix of covariates |
Y |
Outcome |
gamma |
Sensitivity parameter (log odds ratio) |
fitted.prob |
Fitted propensity score |
estimand |
Target estimand, either E[Y] ("all") or E[Y|A=0] ("missing") |
discrete |
Are the data (both X and Y) discrete? |
Value
Extrema (an interval) of the IPW estimator.
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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