From 835fc4f3b2765a5b7ccc3f394a36fcfc218aab39 Mon Sep 17 00:00:00 2001 From: Daniel Date: Thu, 12 Oct 2023 16:05:14 +0200 Subject: [PATCH] fix RD --- R/model_performance.rma.R | 2 +- man/model_performance.rma.Rd | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/R/model_performance.rma.R b/R/model_performance.rma.R index 413f5c9ea..d7fd37e09 100644 --- a/R/model_performance.rma.R +++ b/R/model_performance.rma.R @@ -18,7 +18,7 @@ #' #' - **AIC** Akaike's Information Criterion, see `?stats::AIC` #' -#' - **BIC** {Bayesian Information Criterion, see `?stats::BIC`} +#' - **BIC** Bayesian Information Criterion, see `?stats::BIC` #' #' - **I2**: For a random effects model, `I2` estimates (in #' percent) how much of the total variability in the effect size estimates diff --git a/man/model_performance.rma.Rd b/man/model_performance.rma.Rd index 787b4d8c7..a035378ed 100644 --- a/man/model_performance.rma.Rd +++ b/man/model_performance.rma.Rd @@ -40,7 +40,7 @@ Compute indices of model performance for meta-analysis model from the \subsection{Indices of fit}{ \itemize{ \item \strong{AIC} Akaike's Information Criterion, see \code{?stats::AIC} -\item \strong{BIC} {Bayesian Information Criterion, see \code{?stats::BIC}} +\item \strong{BIC} Bayesian Information Criterion, see \code{?stats::BIC} \item \strong{I2}: For a random effects model, \code{I2} estimates (in percent) how much of the total variability in the effect size estimates can be attributed to heterogeneity among the true effects. For a