diff --git a/NAMESPACE b/NAMESPACE
index 9b39347..c7946eb 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -42,51 +42,63 @@ export(write_hrc)
 export(write_hrc2)
 import(data.table, except = transpose)
 import(utils)
-importFrom(dplyr,"%>%")
-importFrom(dplyr,across)
-importFrom(dplyr,all_of)
-importFrom(dplyr,arrange)
-importFrom(dplyr,bind_rows)
-importFrom(dplyr,case_when)
-importFrom(dplyr,distinct)
-importFrom(dplyr,everything)
-importFrom(dplyr,filter)
-importFrom(dplyr,group_by)
-importFrom(dplyr,last_col)
-importFrom(dplyr,left_join)
-importFrom(dplyr,mutate)
-importFrom(dplyr,n)
-importFrom(dplyr,n_distinct)
-importFrom(dplyr,pull)
-importFrom(dplyr,rename)
-importFrom(dplyr,rename_with)
-importFrom(dplyr,row_number)
-importFrom(dplyr,rowwise)
-importFrom(dplyr,select)
-importFrom(dplyr,summarise)
-importFrom(dplyr,tibble)
-importFrom(dplyr,ungroup)
-importFrom(dplyr,where)
-importFrom(igraph,graph_from_data_frame)
-importFrom(igraph,which_mutual)
-importFrom(lifecycle,badge)
-importFrom(lifecycle,deprecated)
-importFrom(purrr,compact)
-importFrom(purrr,discard)
-importFrom(purrr,imap_dfr)
-importFrom(purrr,list_c)
-importFrom(purrr,map)
-importFrom(purrr,map2)
-importFrom(purrr,map_at)
-importFrom(purrr,transpose)
+importFrom(dplyr,
+  "%>%",
+  across,
+  all_of,
+  arrange,
+  bind_rows,
+  case_when,
+  distinct,
+  everything,
+  filter,
+  group_by,
+  last_col,
+  left_join,
+  mutate,
+  n,
+  n_distinct,
+  pull,
+  rename,
+  rename_with,
+  row_number,
+  rowwise,
+  select,
+  summarise,
+  tibble,
+  ungroup,
+  where
+)
+importFrom(igraph,
+  graph_from_data_frame,
+  which_mutual
+)
+importFrom(lifecycle,
+  badge,
+  deprecated
+)
+importFrom(purrr,
+  compact,
+  discard,
+  imap_dfr,
+  list_c,
+  map,
+  map2,
+  map_at,
+  transpose
+)
 importFrom(rlang,.data)
-importFrom(sdcHierarchies,hier_convert)
-importFrom(sdcHierarchies,hier_import)
+importFrom(sdcHierarchies,
+  hier_convert,
+  hier_import
+)
 importFrom(stats,setNames)
 importFrom(stringr,str_detect)
-importFrom(tidyr,nest)
-importFrom(tidyr,pivot_longer)
-importFrom(tidyr,unnest)
-importFrom(tidyr,unnest_wider)
+importFrom(tidyr,
+  nest,
+  pivot_longer,
+  unnest,
+  unnest_wider
+)
 importFrom(utils,combn)
 importFrom(zoo,na.locf)
diff --git a/R/summarize_secret.R b/R/summarize_secret.R
index 5a2d83c..133d55d 100644
--- a/R/summarize_secret.R
+++ b/R/summarize_secret.R
@@ -1,7 +1,7 @@
 #' Provide the summary of the suppression pattern from a rtauargus result
 #'
 #' @param res_tau either the data.frame resulting from tab_rtauargus run or
-#' the list of data.frame resulting from tab_multimanager run
+#' the list of data.frame resulting from tab_multi_manager run
 #' @param var the quantitative variable name to use for values stats of suppression
 #' (default to `NULL` that is the stats are only computed depending on the number of cells )
 #' @param secret_var the name of the variable indicating the primary suppressed cells
@@ -77,8 +77,8 @@ summarize_secret <- function(res_tau, var = NULL, secret_var = "is_secret_prim")
       dplyr::mutate(
         status = case_when(
           is_secret_prim  ~ "primary suppr.",
-          final_status_ta != "V" ~ "secondary suppr.",
-          TRUE ~ "published"
+          (final_status_ta == "V") | (final_status_ta == FALSE) ~ "published",
+          TRUE ~ "secondary suppr."
         )) |>
       dplyr::mutate(status = factor(
         status,
@@ -118,7 +118,7 @@ summarize_secret <- function(res_tau, var = NULL, secret_var = "is_secret_prim")
 
     }
 
-    return( purrr::map(res_tau, summarize_secret, var = var) )
+    return( purrr::map(res_tau, summarize_secret, var = var, secret_var = secret_var) )
 
   }
 
diff --git a/man/summarize_secret.Rd b/man/summarize_secret.Rd
index 876f857..4d038f1 100644
--- a/man/summarize_secret.Rd
+++ b/man/summarize_secret.Rd
@@ -8,7 +8,7 @@ summarize_secret(res_tau, var = NULL, secret_var = "is_secret_prim")
 }
 \arguments{
 \item{res_tau}{either the data.frame resulting from tab_rtauargus run or
-the list of data.frame resulting from tab_multimanager run}
+the list of data.frame resulting from tab_multi_manager run}
 
 \item{var}{the quantitative variable name to use for values stats of suppression
 (default to \code{NULL} that is the stats are only computed depending on the number of cells )}