iptw: Inverse Probability Weighted Estimator
In idiazst/ordinaltmle: Efficiency guarantees for TMLE with ordinal outcomes
Description
Usage
Arguments
Value
Description
Inverse Probability Weighted Estimator
Usage
1
Arguments
data
is a data frame with n rows with variables A (treatment variable), D (missingness indicator), and Y (outcome)
gDn1
is a vector of sicze n containing Pr(D=1 | A=1, W)
gDn0
is a vector containing Pr(D=1 | A=0, W)
gAn1
is a ectoe containing the propensity scores Pr(A=1|W)
Value
point estimate
idiazst/ordinaltmle documentation built on May 18, 2019, 2:33 a.m.
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Description Usage Arguments Value
Description
Inverse Probability Weighted Estimator
Usage
1 |
Arguments
data |
is a data frame with n rows with variables A (treatment variable), D (missingness indicator), and Y (outcome) |
gDn1 |
is a vector of sicze n containing Pr(D=1 | A=1, W) |
gDn0 |
is a vector containing Pr(D=1 | A=0, W) |
gAn1 |
is a ectoe containing the propensity scores Pr(A=1|W) |
Value
point estimate
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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