Fix formatting error and increment version

NeuroShepherd · Jan 26, 2025 · 79bc06a · 79bc06a
1 parent 1e9ff39
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diff --git a/CITATION.cff b/CITATION.cff
@@ -2,16 +2,17 @@
 # CITATION file created with {cffr} R package
 # See also: https://docs.ropensci.org/cffr/
 # --------------------------------------------
- 
+
 cff-version: 1.2.0
 message: 'To cite package "ordinalsimr" in publications use:'
 type: software
 license: MIT
 title: 'ordinalsimr: Compare Ordinal Endpoints Using Simulations'
-version: 0.1.2
+version: 0.1.3
+doi: 10.5281/zenodo.14697216
 abstract: Simultaneously evaluate multiple ordinal outcome measures. Applied data
   analysts in particular are faced with uncertainty in choosing appropriate statistical
-  tests for ordinal data. The included "shiny" application allows users to simulate
+  tests for ordinal data. The included 'shiny' application allows users to simulate
   outcomes given different ordinal data distributions.
 authors:
 - family-names: Callahan

diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,13 +1,13 @@
 Package: ordinalsimr
 Title: Compare Ordinal Endpoints Using Simulations
-Version: 0.1.2
+Version: 0.1.3
 Authors@R: 
     person(given = "Pat",
            family = "Callahan",
            role = c("aut", "cre", "cph"),
            email = "[email protected]",
            comment = c(ORCID = "0000-0003-1769-7580"))
-Description: Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included "shiny" application allows users to simulate outcomes given different ordinal data distributions.
+Description: Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included 'shiny' application allows users to simulate outcomes given different ordinal data distributions.
 License: MIT + file LICENSE
 Imports: 
     assertthat,

diff --git a/inst/CITATION b/inst/CITATION
@@ -19,7 +19,7 @@ bibentry(
   urldate = "2025-01-19",
   copyright = "MIT",
   date = "2025-01",
-  abstract = "Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included "shiny" applications allows users to simulate outcomes given different ordinal data distributions."
+  abstract = "Simultaneously evaluate multiple ordinal outcome measures. Applied data analysts in particular are faced with uncertainty in choosing appropriate statistical tests for ordinal data. The included 'shiny' applications allows users to simulate outcomes given different ordinal data distributions."
 )