pwaic: Compute the effective number of parameters 'pwaic' for a...
In JGCRI/gcamland: GCAM Land Allocation Module
Description
Usage
Arguments
Value
Description
For each observation, compute the variance of the log likelihood. Note that
we are computing the variance of the log likelihood. The total
pwaic for the model is the sum of these, but we return the individual
values for use in computing standard errors.
Usage
1
pwaic(pointwise_ll)
Arguments
pointwise_ll
List returned from pointwise_loglike.
Value
A vector of pwaic values averaged over Monte Carlo samples. Each
observation will have one corresponding point in the vector.
JGCRI/gcamland documentation built on Oct. 6, 2020, 5:30 p.m.
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Description Usage Arguments Value
Description
For each observation, compute the variance of the log likelihood. Note that
we are computing the variance of the log likelihood. The total
pwaic for the model is the sum of these, but we return the individual
values for use in computing standard errors.
Usage
1 | pwaic(pointwise_ll)
|
Arguments
pointwise_ll |
List returned from |
Value
A vector of pwaic values averaged over Monte Carlo samples. Each observation will have one corresponding point in the vector.
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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