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clinicalsignificance 2.0.0

Breaking changes

• The former main function clinical_significance() is deprecated. The package now offers several different approaches to clinical significance analyses, namely:
  • cs_anchor() (Anchor-based approaches)
  • cs_percentage()(Percentage-change approaches)
  • cs_distribution()(Distribution-based approaches)
  • cs_statistical()(Statistical approaches)
  • cs_combined()(Combined approaches)

The function clinical_significance() used the combined approach (distribution-based and statistical). So the identical analysis can be carried out with cs_combined().

• The function check_cutoff() is deprecated.

• When method = "HLM, participants with three or more data points will be used. Before, participants with at least three data points (i.e., 4 or more) were used.

New features

• You can now specify a significance level at which you want the analysis to be based on with the significance_level argument. The default is significance_level = 0.05. Note that for this is the Phi max level when you set method = "HA" as outlined in their article.

• The package now offers to combined approaches: The classic combination of statistical and distribution-based approaches but also the combination of statistical and anchor-based approaches

• We included the function cs_get_model() to retrieve the hierarchical linear model that is fit during the distribution-based approach if the HLM method is requested.

• The hechler_2014 dataset was included to ensure reproducibility of the JSS article.

Minor improvements and fixes

• Change the whole package to use R’s native pipe operator |>
• Remove unnecessary dependency on magrittr
• Include new vignettes replacing the old ones
• Display correct percentages in summary tables
• Update package vignettes

clinicalsignificance 1.2.1

Breaking changes

• Remove default theming from check_cutoff() as in other plot functions

Minor improvements and fixes

• Improve documentation of datasets
• Include examples for summary() and plot() method

clinicalsignificance 1.2.0

Breaking changes

• Remove default theming from plot() to give the user more control over the overall appearance

Minor improvements and fixes

• Further implementation of tidyeval principles since aes_() was deprecated
• Small improvements in vignettes
• Better documentation for some functions

clinicalsignificance 1.1.0

• Fix HLM method empirical bayes estimation (#2). This now relies on the lme4 package
• Consider the instrument direction for group level summaries in the HA method (#1) which was not done in the initial release

clinicalsignificance 1.0.1

• Added a NEWS.md file to track changes to the package.
• Added package URLs to DESCRIPTION, including one for bug reports
• New package logo

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.