Update README and DESCRIPTION.

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: epiphy
 Type: Package
 Title: Analysis of Plant Disease Epidemics
-Version: 0.5.0.9000
+Version: 0.5.0
 Authors@R: c(
     person("Christophe", "Gigot", email = "ch.gigot@gmail.com",
     role = c("aut", "cre", "cph"), comment = c(ORCID = "0000-0002-1748-2902")),
@@ -12,11 +12,11 @@ Description: A toolbox to make it easy to analyze plant disease epidemics. It
     provides a common framework for plant disease intensity data recorded over
     time and/or space. Implemented statistical methods are currently mainly
     focused on spatial pattern analysis (e.g., aggregation indices, Taylor and
-    binary power laws, distribution fitting, SADIE and mapcomp methods). See
-    Madden LV, Hughes G, van den Bosch F (2007, ISBN: 978-089054-354-2) for
-    further information on these methods. Several data sets that were mainly
-    published in plant disease epidemiology literature are also included in this
-    package.
+    binary power laws, distribution fitting, SADIE and 'mapcomp' methods). See
+    Laurence V. Madden, Gareth Hughes, Franck van den Bosch (2007)
+    <doi:10.1094/9780890545058> for further information on these methods.
+    Several data sets that were mainly published in plant disease epidemiology
+    literature are also included in this package.
 License: MIT + file LICENSE
 URL: https://github.com/chgigot/epiphy, https://chgigot.github.io/epiphy/
 BugReports: https://github.com/chgigot/epiphy/issues

README.md

@@ -8,7 +8,7 @@
 
 <img src="man/figures/logo.png" align="right" />
 
-**epiphy** makes it easy to analyze plant disease epidemics. It provides a common framework for plant disease intensity data recorded over time and/or space. Implemented statistical methods are currently mainly focused on spatial pattern analysis (e.g., aggregation indices, Taylor and binary power laws, distribution fitting, SADIE and mapcomp methods). Several data sets that were mainly published in plant disease epidemiology literature are also included in this package. The online documentation is available at [https://chgigot.github.io/epiphy](https://chgigot.github.io/epiphy).
+**epiphy** makes it easy to analyze plant disease epidemics. It provides a common framework for plant disease intensity data recorded over time and/or space. Implemented statistical methods are currently mainly focused on spatial pattern analysis (e.g., aggregation indices, Taylor and binary power laws, distribution fitting, SADIE and mapcomp methods). Several data sets that were mainly published in plant disease epidemiology literature are also included in this package. The online documentation is available at https://chgigot.github.io/epiphy/.
 
 ## Installation