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dv.clinlines 1.0.4

  • Adapt basic_info, filter, and drug_admin parameter to adhere module standard

dv.clinlines 1.0.3

  • Initial release of dv.clinlines package to GitHub.

dv.clinlines 1.0.2

  • Catch error that occurred in case of empty datasets.
  • Improve usage of default values for plot settings.
  • Improve checks for date variable types.
  • Add informative error message in case of the plot being to big.

dv.clinlines 1.0.1

  • Fix issue with local filters getting reset unintentionally (occurred especially in combination with dv.filter >= 2.1.0)
  • Solve incompatibility with dplyr >= 1.1.0 (note: dv.clinlines now requires dplyr >= 1.1.0 due to updates within the dplyr::case_when() function)
  • Update code to not use deprecated afmm$dataset_name parameter but afmm$dataset_metadata$name from dv.manager >= 2.1.0
  • Standardize module handling by renaming the subject identifier and using the receiver module’s ID for inter-module communication
  • Introduce the possibility to set default plot settings
  • Structure plot legend vertically instead of horizontally to avoid cropping

dv.clinlines 1.0.0

dv.clinlines 0.0.4

  • Refactor package
  • Restructure wrapper
  • Generalize between-module communication (not only to patient profile modules)
  • Adaptions for better orientation
    • Add plot title, legend title, and x-axis label for better orientation
    • Remove participant dropdown (“Subject View”) and rearrange sidebar
    • Impute missing start and end dates by informed consent dates and end of participation dates or today for ongoing
    • Make drug administration event optional

dv.clinlines 0.0.3

  • Remove detail view completely
  • Enable communication with a patient profile module when used within dv.manager
  • Shorten hover box to display only relevant data points
  • Fix a variety of bugs
  • Refine error messages that are thrown when setting up an app
  • Prepare code export functionality

dv.clinlines 0.0.2

  • Improve interaction with dv.manager/ dv.filter:
    • Prevent module from being restarted when global filters in the module manager are used.
    • Ensure controls/filters are resetted when a dataset in module manager is changed.
    • Ensure that all controls/filters are being restored properly when bookmarking happened.
  • Add ms parameter to mod_clinical_timelines() so that users can specify the amount of time that passes by before the plot on the main view re-renders.

dv.clinlines 0.0.1

  • Change package name from clinicaltimelines to dv.clinlines.