update docs, bump version 0.3.0

DESCRIPTION

@@ -1,42 +1,42 @@
-Package: PlackettLuce
-Type: Package
-Title: Plackett-Luce Models for Rankings
-Version: 0.2-9.9000
-Authors@R: c(person("Heather", "Turner",
-        email = "ht@heatherturner.net", role = c("aut", "cre"),
-        comment = c(ORCID = "0000-0002-1256-3375")),
-        person("Ioannis", "Kosmidis", role = "aut",
-        comment = c(ORCID = "0000-0003-1556-0302")),
-        person("David", "Firth", role = "aut",
-        comment = c(ORCID = "0000-0003-0302-2312")),
-        person("Jacob", "van Etten", role = "ctb",
-        comment = c(ORCID = "0000-0001-7554-2558")))
-URL: https://hturner.github.io/PlackettLuce/
-BugReports: https://github.com/hturner/PlackettLuce/issues
-Description: Functions to prepare rankings data and fit the Plackett-Luce model
-    jointly attributed to Plackett (1975) <doi:10.2307/2346567> and Luce
-    (1959, ISBN:0486441369). The standard Plackett-Luce model is generalized
-    to accommodate ties of any order in the ranking. Partial rankings, in which
-    only a subset of items are ranked in each ranking, are also accommodated in
-    the implementation. Disconnected/weakly connected networks implied by the
-    rankings may be handled by adding pseudo-rankings with a hypothetical item.
-    Optionally, a multivariate normal prior may be set on the log-worth
-    parameters and ranker reliabilities may be incorporated as proposed by
-    Raman and Joachims (2014) <doi:10.1145/2623330.2623654>. Maximum a
-    posteriori estimation is used when priors are set. Methods are provided to
-    estimate standard errors or quasi-standard errors for inference as well as
-    to fit Plackett-Luce trees. See the package website or vignette for further
-    details.
-License: GPL-3
-Encoding: UTF-8
-LazyData: true
-Depends: R (>= 2.10)
-Imports: Matrix, igraph, methods, partykit, psychotools,
-    psychotree, RSpectra, qvcalc, sandwich, stats
-Suggests: BiocStyle, BayesMallows, BradleyTerry2,
-    PLMIX, ROlogit, StatRank, bookdown, covr, hyper2, kableExtra, knitr,
-    lbfgs, gnm, pmr, rmarkdown, testthat
-RoxygenNote: 7.1.1
-Roxygen: list(markdown = TRUE)
-VignetteBuilder: knitr
-Language: en-GB
+Package: PlackettLuce
+Type: Package
+Title: Plackett-Luce Models for Rankings
+Version: 0.3.0
+Authors@R: c(person("Heather", "Turner",
+        email = "ht@heatherturner.net", role = c("aut", "cre"),
+        comment = c(ORCID = "0000-0002-1256-3375")),
+        person("Ioannis", "Kosmidis", role = "aut",
+        comment = c(ORCID = "0000-0003-1556-0302")),
+        person("David", "Firth", role = "aut",
+        comment = c(ORCID = "0000-0003-0302-2312")),
+        person("Jacob", "van Etten", role = "ctb",
+        comment = c(ORCID = "0000-0001-7554-2558")))
+URL: https://hturner.github.io/PlackettLuce/
+BugReports: https://github.com/hturner/PlackettLuce/issues
+Description: Functions to prepare rankings data and fit the Plackett-Luce model
+    jointly attributed to Plackett (1975) <doi:10.2307/2346567> and Luce
+    (1959, ISBN:0486441369). The standard Plackett-Luce model is generalized
+    to accommodate ties of any order in the ranking. Partial rankings, in which
+    only a subset of items are ranked in each ranking, are also accommodated in
+    the implementation. Disconnected/weakly connected networks implied by the
+    rankings may be handled by adding pseudo-rankings with a hypothetical item.
+    Optionally, a multivariate normal prior may be set on the log-worth
+    parameters and ranker reliabilities may be incorporated as proposed by
+    Raman and Joachims (2014) <doi:10.1145/2623330.2623654>. Maximum a
+    posteriori estimation is used when priors are set. Methods are provided to
+    estimate standard errors or quasi-standard errors for inference as well as
+    to fit Plackett-Luce trees. See the package website or vignette for further
+    details.
+License: GPL-3
+Encoding: UTF-8
+LazyData: true
+Depends: R (>= 2.10)
+Imports: Matrix, igraph, methods, partykit, psychotools,
+    psychotree, RSpectra, qvcalc, sandwich, stats
+Suggests: BiocStyle, BayesMallows, BradleyTerry2,
+    PLMIX, ROlogit, StatRank, bookdown, covr, hyper2, kableExtra, knitr,
+    lbfgs, gnm, pmr, rmarkdown, testthat
+RoxygenNote: 7.1.1
+Roxygen: list(markdown = TRUE)
+VignetteBuilder: knitr
+Language: en-GB