WAIC: WAIC of LERCA fit using the full conditionals.
In gpapadog/LERCA: Local Exposure-Response Confounding Adjustment
Description
Usage
Arguments
Value
Description
WAIC of LERCA fit using the full conditionals.
Usage
1
WAIC(lerca, dta)
Arguments
lerca
The LERCA output including cutoffs, coefficients and variances
of the exposure and outcome models.
dta
The full data set including the confounders as C1, C2, ..., the
outcome as Y and the exposure as X.
Value
Numeric vector with entries: the estimated log predictive density,
the penalty term based on both criteria, and the WAIC based on both penalty
criteria.
gpapadog/LERCA documentation built on June 4, 2019, 11:40 a.m.
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Description Usage Arguments Value
Description
WAIC of LERCA fit using the full conditionals.
Usage
1 | WAIC(lerca, dta)
|
Arguments
lerca |
The LERCA output including cutoffs, coefficients and variances of the exposure and outcome models. |
dta |
The full data set including the confounders as C1, C2, ..., the outcome as Y and the exposure as X. |
Value
Numeric vector with entries: the estimated log predictive density, the penalty term based on both criteria, and the WAIC based on both penalty criteria.
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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