ModelWeights: Posterior weights of all models in MCMC.
In gpapadog/LERCA: Local Exposure-Response Confounding Adjustment
Description
Function that calculates and orders the models that were chosen in the MCMC
at least once.
Usage
1
ModelWeights(mcmc, model = c("Outcome", "Exposure"), experiment = 1)
Arguments
mcmc
The LERCA fit.
model
Options are 'Outcome' or 'Exposure'. Defines which model we
want to look at.
experiment
Which experiment to look at. Defaults to 1. Cannot be more
than K + 1. Results will be interpretable for the exposure range in the
intersection of experiments across MCMC iterations.
gpapadog/LERCA documentation built on June 4, 2019, 11:40 a.m.
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Description
Function that calculates and orders the models that were chosen in the MCMC at least once.
Usage
1 | ModelWeights(mcmc, model = c("Outcome", "Exposure"), experiment = 1)
|
Arguments
mcmc |
The LERCA fit. |
model |
Options are 'Outcome' or 'Exposure'. Defines which model we want to look at. |
experiment |
Which experiment to look at. Defaults to 1. Cannot be more than K + 1. Results will be interpretable for the exposure range in the intersection of experiments across MCMC iterations. |
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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