mc_standdr: Monte Carlo Simulation of Doubly Robust Standardization
In FrankLef/fciR: Data and functions used with Fundamentals of Causal Inference by Babette Brumback
mc_standdr R Documentation
Monte Carlo Simulation of Doubly Robust Standardization
Description
Monte Carlo Simulation of Doubly Robust Standardization
Usage
mc_standdr(ss = c(40, 100), nrep = 1000, width = 0.95)
Arguments
ss
Integer(). Number of covariates.
nrep
Number of Monte Carlo repetitions.
width
Width of interval. e.g. 0.95 will give interval c(0.025, 0.975).
Default is 0.95.
Value
Dataframe of results.
Source
Section 6.3.1
See Also
standdr_sim standdr_est
FrankLef/fciR documentation built on Nov. 12, 2023, 6:09 a.m.
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| mc_standdr | R Documentation |
Monte Carlo Simulation of Doubly Robust Standardization
Description
Monte Carlo Simulation of Doubly Robust Standardization
Usage
mc_standdr(ss = c(40, 100), nrep = 1000, width = 0.95)
Arguments
ss |
Integer(). Number of covariates. |
nrep |
Number of Monte Carlo repetitions. |
width |
Width of interval. e.g. 0.95 will give interval c(0.025, 0.975). Default is 0.95. |
Value
Dataframe of results.
Source
Section 6.3.1
See Also
standdr_sim standdr_est
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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