diff --git a/R/conversion_2.R b/R/conversion_2.R
index 21cdc14..33d2a1a 100644
--- a/R/conversion_2.R
+++ b/R/conversion_2.R
@@ -5,7 +5,7 @@
 #' @param se Standard error of the `beta` estimate, numeric vector of length 1
 #' @param response_transformation Character string describing transformation
 #' @param link_fun Character string describing link function
-#' @param sim Number of simulations to use during back-transformation. Defaults to $10000$.
+#' @param sim Number of simulations to use during back-transformation. Defaults to `10000`.
 #'
 #' @return The outputs of a back-transformation function, see family back-transformations
 #' @export
diff --git a/R/make_param_table.R b/R/make_param_table.R
index eddf269..ac719a9 100644
--- a/R/make_param_table.R
+++ b/R/make_param_table.R
@@ -16,7 +16,7 @@
 #'
 #' @details # Note
 #' Currently variable names of `analysis_data` must not contain `.` because this character is used to split the `variable` from the `parameter` during `pivot_longer()`
-#' @seealso The table from this function is used to standardize out-of-sample predictions $y_i$ in [pred_to_Z()]
+#' @seealso The table from this function is used to standardize out-of-sample predictions \eqn{y_i} in [pred_to_Z()]
 make_param_table <- function(analysis_data, na.rm = TRUE) {
   out <- analysis_data %>%
     ungroup() %>%
diff --git a/R/multi_level_mod_calcs.R b/R/multi_level_mod_calcs.R
index 76172a7..ec08ffa 100644
--- a/R/multi_level_mod_calcs.R
+++ b/R/multi_level_mod_calcs.R
@@ -16,7 +16,7 @@ calc_I2_ml <- function(fitted_model) {
 }
 
 #' Apportion heterogeneity of a multi-level meta-analytic model
-#' @description Estimates how much the total variance $I^2$ can be attributed to between- and within- cluster heterogeneity separately.
+#' @description Estimates how much the total variance \eqn{I^2} can be attributed to between- and within- cluster heterogeneity separately.
 #' @details From [http://www.metafor-project.org/doku.php/tips:i2_multilevel_multivariate](http://www.metafor-project.org/doku.php/tips:i2_multilevel_multivariate)
 #' @param fitted_model
 #'
diff --git a/R/prepare_ManyEcoEvo_yi.R b/R/prepare_ManyEcoEvo_yi.R
index 655c2a0..f5cc519 100644
--- a/R/prepare_ManyEcoEvo_yi.R
+++ b/R/prepare_ManyEcoEvo_yi.R
@@ -5,11 +5,10 @@
 #' @param all_review_data Review data for all `dataset`s contained in `master_data_raw`, generated by `prepare_review_data`.
 #' @param all_prediction_data Prediction data for all `dataset`s contained in a `tibble`
 #' @param ManyEcoEvo ManyEcoEvo data generated by `prepare_ManyEcoEvo`
-#' @return A tibble of ManyEcoEvo analyst response data with out-of-sample predictions ($y_i$).
+#' @return A tibble of ManyEcoEvo analyst response data with out-of-sample predictions (\eqn{y_i}).
 #' @export
 #' @family targets-pipeline functions
 #' @family Multi-dataset Wrapper Functions
-
 prepare_ManyEcoEvo_yi <- function(master_data_raw,
                                   master_raw_metadata,
                                   all_prediction_data) {
diff --git a/R/utils.R b/R/utils.R
index dd5933a..8c3fdcc 100644
--- a/R/utils.R
+++ b/R/utils.R
@@ -52,7 +52,7 @@ subset_fns_Zr <- function() { # TODO update calling of this fn (switch to fn rat
 #'
 #' @description Generates a list of functions that are used to subset the 
 #' processed ManyEcoEvo dataset (e.g.`data(ManyEcoEvo_results`) containing 
-#' out-of-sample predictions $y_i$. 
+#' out-of-sample predictions \eqn{y_i}. 
 #' 
 #' @details 
 #' The subset functions are used to filter out predictions that are not