updated news and description

ocbe-uio · Mar 20, 2024 · 8ecf244 · 8ecf244
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: BayesMallows
 Type: Package
 Title: Bayesian Preference Learning with the Mallows Rank Model
-Version: 2.1.1.9002
+Version: 2.1.1.9003
 Authors@R: c(person("Oystein", "Sorensen",
                     email = "oystein.sorensen.1985@gmail.com",
                     role = c("aut", "cre"),

diff --git a/NEWS.md b/NEWS.md
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 # BayesMallows (development versions)
 
+* It is now possible to report progress of MCMC more flexibly using 
+  compute_mallows() or compute_mallows_mixtures(). The old argument "verbose"
+  which by default reported every 1000'th iteration has been replaced by an
+  argument "progress_report" which can be set by calling set_progress_report().
+  The latter allows setting the interval between reports. This is particularly
+  useful for big data, where running 1000 iterations may take very long time.
 * Fixed a bug which caused inconsistent partial rank data to be retained from
   previous timepoints when existing users update their preferences.
 * Arguments random and random_limit to setup_rank_data() have been removed. A