Changes in version 0.2.2 (2025-06-18)                  

  - Added plotting support for glmmTMB betabinomial models
  - Fixes compatibility with latest changes to how formulas are read

                 Changes in version 0.2.1 (2023-09-15)                  

  - Added a NEWS.md file to track changes to the package.
  - Fixed issue with breaking change to paired t test

                 Changes in version 0.2.0 (2021-09-27)                  

  - Repairing for resubmission to CRAN
  - Adding compatibility with new versions of dplyr, tidyr and ggplot2
  - Inbuilt support for binomial, glmmPQL and glmmTMB models

                 Changes in version 0.1.8 (2018-12-03)                  

  - Fixes a bug in make_onset_data.

                 Changes in version 0.1.7 (2018-02-14)                  

  - Compatible with dplyr > 0.5.0.
  - Fixes issue described in
    https://github.com/jwdink/eyetrackingR/issues/57
  - Fixes bug in add_aoi when only one AOI is added.

                 Changes in version 0.1.6 (2016-03-17)                  

  - Allows for treatment-coded variables in lm or lmer time-bin or
    cluster analysis, via the "treatment_level" argument.

                 Changes in version 0.1.5 (2016-03-06)                  

  - Fixes compatibility issue with latest version of lme4 package.

                 Changes in version 0.1.4 (2016-01-26)                  

  - A variety of important bug-fixes for onset-contingent analysis. The
    rest of the package is unchanged.

                 Changes in version 0.1.3 (2016-01-09)                  

  - The analyze_time_bins and therefore cluster-analyses have been
    re-written internally. Full support for (g)lm, (g)lmer, wilcox.
    Support for interaction terms/predictors. Experimental support for
    using boot-splines within cluster analysis.
  - P-value adjustment for multiple comparisons is now supported in
    analyze_time_bins
  - Easier to use AOI as a predictor/covariate in analyze_time_bins and
    cluster analyses
  - The functions make_boot_splines_data and analyze_boot_splines are
    now deprecated. To perform this type of analysis, use
    test="boot_splines" in analyze_time_bins.
  - Warnings and errors are now given in the returned dataframe for
    analyze_time_bins.
  - Fixed plotting methods for time-cluster data
  - The analyze_time_clusters function now checks that the extra
    arguments passed to it are the same as the arguments passed
  - Fixed small bug in make_onset_data
  - Added simulate_eyetrackingr_data function to generate fake data for
    simulations.

                 Changes in version 0.1.1 (2015-11-16)                  

  - Important bug-fix in clean_by_trackloss. Previously did not work for
    certain column names.
  - Important bug-fix in make_eyetrackingr_data. Previously did not work
    correctly with treat_non_aoi_as_missing = TRUE.
  - Important bug-fix in analyze_time_clusters: previously did not
    compute permutation-distribution correctly.
  - Can specify any arbitrary dependent-variable for
    make_time_window_data or make_time_sequence_data to summarize. This
    DV can then be plotted and used in downstream functions (like
    analyze_time_bins or make_time_cluster_data)
  - Bug-fix in error/warning reporting in analyze_time_bins and
    functions that call this (e.g make_time_cluster_data).
  - Compatible with ggplot2 2.0
  - Small bug fix in cluster analyses functions related to the dots
    (...) arguments
  - Added support for parallelization in analyze_time_clusters, allowing
    the user to take advantage of multiple cores to speed up this
    relatively slow function.
  - Added get_time_clusters for getting information about clusters in a
    data.frame (rather than a printed summary-- better for programming).
  - Small bug-fixes in make-boot-splines.
  - Changed how cluster-summaries are displayed