computeELPD: computeELPD
In xiaoyuezhuu/risky-muscimol: Makes plots for the risky paper on bioRxiv
Description
Usage
Arguments
Value
Description
adapted from https://github.com/stan-dev/stancon_talks/blob/master/2017/Contributed-Talks/07_nicenboim/kfold.Rmd
the ELPD is the theoretical expected log pointwise predictive density for the held-out data
the loglik from the fit is a n_iter x T matrix, the pointwise is 1 x T vector, elpd is the sum of pointwise
Usage
1
computeELPD(log_lik_heldout)
Arguments
log_lik_heldout:
Value
dataframe
xiaoyuezhuu/risky-muscimol documentation built on Jan. 7, 2022, 12:27 a.m.
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Description Usage Arguments Value
Description
adapted from https://github.com/stan-dev/stancon_talks/blob/master/2017/Contributed-Talks/07_nicenboim/kfold.Rmd the ELPD is the theoretical expected log pointwise predictive density for the held-out data the loglik from the fit is a n_iter x T matrix, the pointwise is 1 x T vector, elpd is the sum of pointwise
Usage
1 | computeELPD(log_lik_heldout)
|
Arguments
log_lik_heldout: |
Value
dataframe
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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