hEst: h-density estimation
In podTockom/tstmle01: Targeted Maximum Likelihood Estimation of Causal Effects of Interventions on a Single Binary Time Series
Description
Usage
Arguments
Value
Description
This function evaluates the h-density, necessary for the clever covariate calculation.
Usage
1
Arguments
fit
fit object obtained by initEst.
i
Where we are in the i loop (part of the clever covariate calculation).
B
Number of observations to sample from P and P^*.
t
Outcome time point of interest. It must be greater than the
intervention node A.
Value
An object of class tstmle.
- h_cy
Empirical estimate of h_cy
- h_ca
Empirical estimate of h_ca
- h_cw
Empirical estimate of h_cw
podTockom/tstmle01 documentation built on May 14, 2019, 2:03 a.m.
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Description Usage Arguments Value
Description
This function evaluates the h-density, necessary for the clever covariate calculation.
Usage
1 |
Arguments
fit |
|
i |
Where we are in the i loop (part of the clever covariate calculation). |
B |
Number of observations to sample from P and P^*. |
t |
Outcome time point of interest. It must be greater than the intervention node A. |
Value
An object of class tstmle.
- h_cy
Empirical estimate of h_cy
- h_ca
Empirical estimate of h_ca
- h_cw
Empirical estimate of h_cw
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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