loo v2.1.0
See release notes below or at mc-stan.org/loo/news.
Installation
Install from CRAN:
install.packages("loo")
Install from GitHub:
devtools::install_github("stan-dev/loo", ref = "v2.1.0")
Release notes
-
New function
loo_compare()
for model comparison that will eventually replace
the existingcompare()
function. (#93) -
New vignette on LOO for non-factorizable joint Gaussian models. (#75)
-
New vignette on "leave-future-out" cross-validation for time series models. (#90)
-
New glossary page (use
help("loo-glossary")
) with definitions of key terms. (#81) -
New
se_diff
column in model comparison results. (#78) -
Improved stability of
psis()
whenlog_ratios
are very small. (#74) -
Allow
r_eff=NA
to suppress warning when specifyingr_eff
is not applicable
(i.e., draws not from MCMC). (#72) -
Update effective sample size calculations to match RStan's version. (#85)
-
Naming of k-fold helper functions now matches scikit-learn. (#96)