Changes in version 0.5.2.9000                      

                 Changes in version 0.5.2 (2025-07-05)                  

  - a patch to accommodate changes to igraph's handling of NAs #1821.

                 Changes in version 0.5.1 (2025-04-25)                  

  - 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

                 Changes in version 0.4.1 (2024-06-11)                  

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

                 Changes in version 0.4.0 (2024-04-25)                  

  - 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.

                 Changes in version 0.3.1 (2023-04-28)                  

  - 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.

                 Changes in version 0.2.0 (2022-05-20)                  

  - 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.

                 Changes in version 0.1.1 (2022-01-09)                  

  - 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.

                 Changes in version 0.1.0 (2021-07-22)