Description Usage Arguments Value Functions
Sensitivity analysis for missing data
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 |
A |
Indicator of missingness |
X |
A matrix of covariates |
Y |
Outcome |
gamma |
Sensitivity parameter (log odds ratio) |
alpha |
Significance level |
estimand |
Target estimand, either E[Y] ("all") or E[Y|A=0] ("missing") |
reg.adjust |
Should regression adjustment (augmented IPW) be used? |
parallel |
Should parallel computing be used? |
B |
Number of Bootstrap resamples. |
warm.start |
Warm start the refitting of propensity score model (doesn't seem to help). |
start |
Starting values for the propensity score model to warm start |
A (1 - alpha) confidence interval.
Extrema (an interval).
extrema.md
: Obtain extrema of IPW estimator for missing data
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