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Merge pull request #268 from stan-dev/fix-loo-glossary-equations
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fix equations in loo-glossary
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jgabry authored Jun 24, 2024
2 parents 1aad659 + 02d4958 commit 0df8445
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Expand Up @@ -53,5 +53,5 @@ Suggests:
VignetteBuilder: knitr
Encoding: UTF-8
SystemRequirements: pandoc (>= 1.12.3), pandoc-citeproc
RoxygenNote: 7.3.0
RoxygenNote: 7.3.1
Roxygen: list(markdown = TRUE)
6 changes: 3 additions & 3 deletions R/loo-glossary.R
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Expand Up @@ -84,15 +84,15 @@
#' is usually negligible. Thinning of MCMC draws can be used to improve
#' the ratio ESS/S.
#'
#' * If \eqn{k < min(1 - 1 / log10(S), 0.7)}, where \eqn{S} is the
#' * If \eqn{k < \min(1 - 1 / \log_{10}(S), 0.7)}, where \eqn{S} is the
#' sample size, the PSIS estimate and the corresponding Monte
#' Carlo standard error estimate are reliable.
#'
#' * If \eqn{1 - 1 / log10(S) <= k < 0.7}, the PSIS estimate and the
#' * If \eqn{1 - 1 / \log_{10}(S) <= k < 0.7}, the PSIS estimate and the
#' corresponding Monte Carlo standard error estimate are not
#' reliable, but increasing the (effective) sample size \eqn{S} above
#' 2200 may help (this will increase the sample size specific
#' threshold \eqn{(1 - 1 / log10(2200) > 0.7} and then the bias specific
#' threshold \eqn{(1 - 1 / \log_{10}(2200) > 0.7} and then the bias specific
#' threshold 0.7 dominates).
#'
#' * If \eqn{0.7 <= k < 1}, the PSIS estimate and the corresponding Monte
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6 changes: 3 additions & 3 deletions man/loo-glossary.Rd

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