frscore 0.5.2

• a patch to accommodate changes to igraph’s handling of NAs #1821.

frscore 0.5.1

• new functions submodel_adjacencies_to_igraph() and plot_submodel_network()
  for representing submodel relations as graphs, and for plotting them as networks.

• argument scoretype is removed from frscore() and frscored_cna().

• rean_cna() and frscored_cna() gain a new argument quiet.

• minor internal changes for compatibility with cna v.4.0.0

frscore 0.4.1

• A patch release that fixes an issue caused by changes in cna package.

frscore 0.4.0

• rean_cna() and frscore() display progress tickers.

• frscore() and frscored_cna() are no longer sensitive to locale (due to collation differences) when number of unique model types exceeds maxsols.

• unless normalize = "none", norm.score column filled with zeroes is added to the output of frscore() and frscored_cna() when maximum score obtained by a model is zero.

• frscore() and frscored_cna() return an adjacency matrix where adjacencies represent submodel relations between the scored model types.

• frscored_cna() and frscore() return how they were called.

• frscored_cna() and rean_cna() accept output = "msc", in which case only mscs are calculated in, and collected from the reanalysis series.

frscore 0.3.1

• A new function causal_submodel() is introduced. causal_submodel() is like cna::is.submodel(), but checks that all causal relevance ascriptions, rather than ascriptions of direct causation only, of one model are contained in another model.

• frscore() is updated to use causal_submodel() instead of cna::is.submodel() to compare models when calculating fr-scores.

• frscored_cna() and frscore() gain an argument comp.method that allows the user to decide whether fr-scores are calculated using causal_submodel() (default) or cna::is.submodel().

• frscore() gains a new argument dat, to be used to determine admissible factor values when processing multi-valued models using comp.method = "causal_submodel".

• frscored_cna() and rean_cna() gain a new argument n.init that controls the maximum number of csfs that are calculated in each analysis. This replaces ncsf in rean_cna(), ncsf is deprecated.

• The scoretype argument in frscore() and frscored_cna() is deprecated ahead of removal in the next version.

frscore 0.2.0

• The unadjusted (non-normalized) fr-score of each model type is now always included as the score column in the results returned by frscore() and frscored_cna(). A normalized score is included as a column named norm.score if normalize = "truemax" or normalize = "idealmax".

• A list containing a breakdown of each model’s unadjusted fr-score is now always included in the output of frscore() and frscored_cna(). The verbose argument now only controls whether it is printed (verbose = TRUE) or not (verbose = FALSE).

• Print methods for frscore()and frscored_cna() have been updated to reflect the change in verbose behavior, and so that objects created by previous versions of frscore() and frscored_cna() are still printed correctly.

frscore 0.1.1

• patch release with no changes that affect usage; fixes an example in frscored_cna() documentation that started throwing an error due to changes in the cna package, and stops frscore() from displaying a confusing warning when the number of solution types exceeds the value of the argument maxsols.

frscore 0.1.0