diff --git a/DESCRIPTION b/DESCRIPTION
index a6332f9..2e01a00 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: markovchain
 Type: Package
 Title: Easy Handling Discrete Time Markov Chains
-Version: 0.9.5
+Version: 0.9.6
 Authors@R: c(
     person("Giorgio Alfredo", "Spedicato", role = c("aut", "cre"),
       email = "spedicato_giorgio@yahoo.it",comment = c(ORCID = "0000-0002-0315-8888")),
diff --git a/NEWS.md b/NEWS.md
index 88f439d..79ca45d 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -5,6 +5,11 @@ editor_options:
 title: News
 ---
 
+# News for version 0.9.6
+
+-   Handling change of pandoc requirements
+
+
 # News for version 0.9.5
 
 -   Downtick R requirements
diff --git a/vignettes/an_introduction_to_markovchain_package.Rmd b/vignettes/an_introduction_to_markovchain_package.Rmd
index 459f768..8721908 100644
--- a/vignettes/an_introduction_to_markovchain_package.Rmd
+++ b/vignettes/an_introduction_to_markovchain_package.Rmd
@@ -46,7 +46,7 @@ preamble: >
   \usepackage{amsfonts}
 abstract: |
   The \pkg{markovchain} package aims to fill a gap within the \proglang{R} framework providing S4 classes and methods for easily handling discrete time Markov chains, homogeneous and simple inhomogeneous ones as well as continuous time Markov chains. The S4 classes for handling and analysing discrete and continuous time Markov chains are presented, as well as functions and method for performing probabilistic and statistical analysis. Finally, some examples in which the package's functions are applied to Economics, Finance and Natural Sciences topics are shown.
-output: if (rmarkdown::pandoc_version() < "2.2") function(...) { rmarkdown::pdf_document(template = "./template.tex", ...) } else function(...) { bookdown::pdf_book(base_format = rticles::jss_article, ...) }
+output: if (rmarkdown::pandoc_version() < "2.2") function(...) { rmarkdown::pdf_document(template = "./template.tex", ...) } else function(...) { bookdown::pdf_book(base_format = rticles::jss_article, ...) } 
 vignette: >
   %\VignetteIndexEntry{An introduction to markovchain package} 
   %\VignetteEngine{knitr::rmarkdown}
diff --git a/vignettes/higher_order_markov_chains.Rmd b/vignettes/higher_order_markov_chains.Rmd
index a84114f..f667264 100644
--- a/vignettes/higher_order_markov_chains.Rmd
+++ b/vignettes/higher_order_markov_chains.Rmd
@@ -33,7 +33,7 @@ preamble: >
   \setkeys{Gin}{width=0.8\textwidth}
 abstract: |
   The \pkg{markovchain} package contains functions to fit higher (possibly) multivariate order Markov chains. The functions are shown as well as simple exmaples
-output: if (rmarkdown::pandoc_version() < "2.2") function(...) { rmarkdown::pdf_document(template = "./template.tex", ...) } else function(...) { bookdown::pdf_book(base_format = rticles::jss_article, ...) }
+output: if (rmarkdown::pandoc_version() < "2.2") function(...) { rmarkdown::pdf_document(template = "./template.tex", ...) } else function(...) { bookdown::pdf_book(base_format = rticles::jss_article, ...) } 
 vignette: >
   %\VignetteIndexEntry{Higher order markov chains} 
   %\VignetteEngine{knitr::rmarkdown}