ipw_estimation: Fit Inverse Probability Weights Model
In gee4: Generalised Estimating Equations (GEE/WGEE) using 'Armadillo' and S4
Description
Fit inverse probability weights model.
Usage
1
ipw_estimation(m, Y, order, trace = FALSE)
Arguments
m
an integer vector of number of measurements for each subject.
Y
a vector of responses for all subjects.
order
the order for MAR remaining model.
trace
whether or not the optimization iteration should be printed.
gee4 documentation built on May 2, 2019, 10:14 a.m.
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Description
Fit inverse probability weights model.
Usage
1 | ipw_estimation(m, Y, order, trace = FALSE)
|
Arguments
m |
an integer vector of number of measurements for each subject. |
Y |
a vector of responses for all subjects. |
order |
the order for MAR remaining model. |
trace |
whether or not the optimization iteration should be printed. |
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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