diff --git a/DESCRIPTION b/DESCRIPTION
index e7c8879e..b6e0d21f 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -57,4 +57,4 @@ Encoding: UTF-8
 Language: en-GB
 LazyData: true
 Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.2.3
+RoxygenNote: 7.3.1
diff --git a/R/cfr_time_varying.R b/R/cfr_time_varying.R
index 486902fc..028ede75 100644
--- a/R/cfr_time_varying.R
+++ b/R/cfr_time_varying.R
@@ -48,11 +48,11 @@
 #' for each \eqn{t}, where \eqn{\theta} represents the severity measure of
 #' interest.
 #'
-#' The epidemiological delay distribution passed to `epidist` is used to obtain
-#' a probability mass function parameterised by time; i.e. \eqn{f(t)} which
-#' gives the probability a case has a known outcomes (usually, death) at time
-#' \eqn{t}, parameterised with disease-specific parameters before it is supplied
-#' here.
+#' The epidemiological delay distribution passed to `delay_density` is used to
+#' obtain a probability mass function parameterised by time; i.e. \eqn{f(t)}
+#' which gives the probability a case has a known outcomes (usually, death) at
+#' time \eqn{t}, parameterised with disease-specific parameters before it is
+#' supplied here.
 #'
 #' **Note** that the function arguments `burn_in` and `smoothing_window` are not
 #' explicitly used in this calculation. `burn_in` controls how many estimates at
diff --git a/man/cfr_time_varying.Rd b/man/cfr_time_varying.Rd
index 7dd007b7..8b4ff029 100644
--- a/man/cfr_time_varying.Rd
+++ b/man/cfr_time_varying.Rd
@@ -80,11 +80,11 @@ We use maximum likelihood estimation to determine the value of \eqn{\theta_t}
 for each \eqn{t}, where \eqn{\theta} represents the severity measure of
 interest.
 
-The epidemiological delay distribution passed to \code{epidist} is used to obtain
-a probability mass function parameterised by time; i.e. \eqn{f(t)} which
-gives the probability a case has a known outcomes (usually, death) at time
-\eqn{t}, parameterised with disease-specific parameters before it is supplied
-here.
+The epidemiological delay distribution passed to \code{delay_density} is used to
+obtain a probability mass function parameterised by time; i.e. \eqn{f(t)}
+which gives the probability a case has a known outcomes (usually, death) at
+time \eqn{t}, parameterised with disease-specific parameters before it is
+supplied here.
 
 \strong{Note} that the function arguments \code{burn_in} and \code{smoothing_window} are not
 explicitly used in this calculation. \code{burn_in} controls how many estimates at