diff --git a/R/res.R b/R/res.R
index 84cd4a3f..366a7351 100644
--- a/R/res.R
+++ b/R/res.R
@@ -136,6 +136,7 @@ res_gamma_pois <- function(x, lambda = 1, theta = 0, type = "dev", simulate = FA
 #'
 #' @inheritParams params
 #' @param x A non-negative whole numeric vector of values.
+#' @param prob A numeric vector of values between 0 and 1 of the probability of zero-inflation.
 #'
 #' @return An numeric vector of the corresponding residuals.
 #' @family res_dist
@@ -257,6 +258,7 @@ res_pois <- function(x, lambda = 1, type = "dev", simulate = FALSE) {
 #'
 #' @inheritParams params
 #' @param x A non-negative whole numeric vector of values.
+#' @param prob A numeric vector of values between 0 and 1 of the probability of zero-inflation.
 #'
 #' @return An numeric vector of the corresponding residuals.
 #' @family res_dist
diff --git a/man/res_gamma_pois_zi.Rd b/man/res_gamma_pois_zi.Rd
index 6efeb624..86e7d019 100644
--- a/man/res_gamma_pois_zi.Rd
+++ b/man/res_gamma_pois_zi.Rd
@@ -20,7 +20,7 @@ res_gamma_pois_zi(
 
 \item{theta}{A non-negative numeric vector of the dispersion for the mixture models (student, gamma-Poisson and beta-binomial).}
 
-\item{prob}{A numeric vector of values between 0 and 1 of the probability of success.}
+\item{prob}{A numeric vector of values between 0 and 1 of the probability of zero-inflation.}
 
 \item{type}{A string of the residual type. 'raw' for raw residuals 'dev' for deviance residuals and 'data' for the data.}
 
diff --git a/man/res_pois_zi.Rd b/man/res_pois_zi.Rd
index 68c907df..e79f3168 100644
--- a/man/res_pois_zi.Rd
+++ b/man/res_pois_zi.Rd
@@ -11,7 +11,7 @@ res_pois_zi(x, lambda = 1, prob = 0, type = "dev", simulate = FALSE)
 
 \item{lambda}{A non-negative numeric vector of means.}
 
-\item{prob}{A numeric vector of values between 0 and 1 of the probability of success.}
+\item{prob}{A numeric vector of values between 0 and 1 of the probability of zero-inflation.}
 
 \item{type}{A string of the residual type. 'raw' for raw residuals 'dev' for deviance residuals and 'data' for the data.}