Proof-read the description text.

AntoineBbi · Nov 9, 2023 · 50e23c3 · 50e23c3
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diff --git a/CRAN-SUBMISSION b/CRAN-SUBMISSION
@@ -1,3 +1,3 @@
 Version: 0.1.0
-Date: 2023-11-07 18:12:36 UTC
-SHA: 4aaa80b3ce03a2fc799cb3f33b65daef04fbe277
+Date: 2023-11-09 01:23:25 UTC
+SHA: a3c9d340496fb1d00db260b3cfcc220ec44fe5ed
diff --git a/DESCRIPTION b/DESCRIPTION
@@ -3,7 +3,7 @@ Title: Bayesian Estimation for Quantile Regression Mixed Models
 Version: 0.1.0
 Authors@R: c(person("Antoine", "Barbieri", role = c("aut", "cre"), email = "antoine.barbieri@u-bordeaux.fr"), person("Hélène", "Jacqmin-Gadda", role = c("aut"), email = "helene.jacqmin-gadda@u-bordeaux.fr")) 
 Maintainer: Antoine Barbieri <antoine.barbieri@u-bordeaux.fr>
-Description: Using a Bayesian estimation procedure, this package fits linear quantile regression models such as linear quantile models, linear quantile mixed models, quantile regression joint models for time-to-event and longitudinal data. The estimation procedure is based on the asymmetric Laplace distribution and the 'JAGS' software is used to get posterior sample (Yang, Luo, DeSantis (2019) <doi:10.1177/0962280218784757>).
+Description: Using a Bayesian estimation procedure, this package fits linear quantile regression models such as linear quantile models, linear quantile mixed models, quantile regression joint models for time-to-event and longitudinal data. The estimation procedure is based on the asymmetric Laplace distribution and the 'JAGS' software is used to get posterior samples (Yang, Luo, DeSantis (2019) <doi:10.1177/0962280218784757>).
 Depends: R (>= 3.4.1),
          survival
 Imports: jagsUI,

diff --git a/R/deviance.R b/R/deviance.R
@@ -186,7 +186,7 @@ deviance <- function(object, M=1000, conditional="survival", verbose = TRUE){
   }
 
   if (verbose == TRUE)
-    cat("\n")
+    message("\n")
 
   # output management
   sims.list <- list(b = b,