diff --git a/man/back.Rd b/man/back.Rd
index 44a5e67..0efff49 100644
--- a/man/back.Rd
+++ b/man/back.Rd
@@ -37,8 +37,8 @@ square_root_back(beta, se, sim)
 \arguments{
 \item{beta}{Analyst beta estimate}
 
-\item{se}{Standard error of analyst's effect size estimate $\\beta$
-or out-of-sample prediction estimate $y\\_i$.}
+\item{se}{Standard error of analyst's effect size estimate \eqn{\beta}
+or out-of-sample prediction estimate \eqn{y_i}.}
 
 \item{sim}{numeric vector of length 1. number of simulations.}
 
@@ -61,11 +61,11 @@ We assume analysts' estimates are normally distributed. Each function uses a nor
 
 \item \code{probit_back()}: Back transform beta estimates for models with probit-link
 
-\item \code{inverse_back()}: Back transform beta estimates for models with $1/x$ link
+\item \code{inverse_back()}: Back transform beta estimates for models with \eqn{1/x} link
 
-\item \code{square_back()}: Back transform beta estimates for models with $x^2$-link
+\item \code{square_back()}: Back transform beta estimates for models with \eqn{x^2}-link
 
-\item \code{cube_back()}: Back transform beta estimates for models with $x^3$-link
+\item \code{cube_back()}: Back transform beta estimates for models with \eqn{x^3}-link
 
 \item \code{identity_back()}: Back transform beta estimates for models with identity-link
 
diff --git a/man/rm_inf_na.Rd b/man/rm_inf_na.Rd
index e00959f..32d3fe8 100644
--- a/man/rm_inf_na.Rd
+++ b/man/rm_inf_na.Rd
@@ -9,9 +9,9 @@ rm_inf_na(effects_analysis, Z_colname, VZ_colname)
 \arguments{
 \item{effects_analysis}{A dataframe containing the standardised effects}
 
-\item{Z_colname}{unquoted or bare column name with the $Z$ or $Z_r$ estimates}
+\item{Z_colname}{unquoted or bare column name with the \eqn{Z} or \eqn{Z_r} estimates}
 
-\item{VZ_colname}{unquoted or bare column name containing the $VZ$ or $\\text{VZ}_r$ estimates}
+\item{VZ_colname}{unquoted or bare column name containing the \eqn{VZ} or \eqn{\text{VZ}_r} estimates}
 }
 \value{
 a dataframe without