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v0.2-8
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@hturner hturner released this 06 Jan 13:45
v0.2-8
62ee8fb

New Features

  • New "aggregated_rankings" object to store aggregated rankings with the corresponding frequencies. Objects of class "rankings" can be aggregated via the aggregate method; alternatively rankings() and as.rankings() will create an "aggregated_rankings" object when aggregate = TRUE. as.rankings() also handles pre-aggregated data, accepting frequencies via the freq argument.
  • New freq() function to extract frequencies from aggregated rankings.
  • as.rankings() can now create a "grouped_rankings" object, if a grouping index is passed via the index argument.
  • New as.matrix() methods for rankings and aggregated rankings to extract the underlying matrix of rankings, with frequencies in the final column if relevant. This means rankings can be saved easily with write.table().
  • New complete() and decode() functions to help pre-process orderings before converting to rankings, complete() infers the item(s) in r'th rank given the items in the other (r - 1) ranks. decode() converts coded (partial) orderings to orderings of the items in each ordering.
  • New read.soi(), read.toc() and read.toi() to read the corresponding PrefLib file formats (for data types "Strict Orders - Incomplete List", "Orders with Ties - Complete List" and "Orders with Ties - Incomplete List"). An as.aggregated_rankings() method is provided to convert the data frame of aggregated orderings to an "aggregated_rankings" object.

Improvements

  • pltree() now respects na.action and will pad predictions and fitted values for na.action = "na.exclude" if the rankings are missing for a whole group or one of the model covariates has a missing value.
  • PlackettLuce() now has an na.action argument for handling of missing rankings.
  • fitted() and choices() now return data frames, with list columns as necessary.

Changes in behaviour

  • rankings() now sets redundant/inconsistent ranks to NA rather than dropping them. This does not affect the final ranking, unless it is completely NA.
  • The frequencies column in the data frame returned by read.soc() is now named Freq rather than n.
  • The "item" attribute of the data frame returned by read.soc() is now named "items".
  • The labels argument in as.rankings() has been deprecated and replaced by items.
  • grouped_ranking() has been deprecated and replaced by group().
  • The redundant columns in the nascar data have been dropped.
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