Changes in version 0.3.3                        

UNDER DEVELOPMENT - FUTURE RELEASE

                 Changes in version 0.3.2 (2020-06-15)                  

Implemented Updates

Bugfix

  - Replace ifelse() calls that return Dates with calls to ifelse_cp()

                 Changes in version 0.3.1 (2020-03-08)                  

Implemented Updates

General

  - Explicit declarations of stringsAsFactors=T in all data.frame()
    calls for cross-version compatibility

                 Changes in version 0.3.0 (2019-07-04)                  

Implemented Updates

General

  - Overall improvement of documentation & detailed descriptions of
    functions
  - Input parameter covariates specified in deviceevent() must be either
    factor or numeric, no longer character.
  - Input parameter match_levels specified in time_series() must be
    factor, no longer character.
  - Add to output of define_analyses() a function for adding dates in
    the units specified by date_level and date_level_n
  - Deprecated use_hierarchy parameter in time_series()
  - Explicit carry-forward of define_analysis id

Covariate Handling

  - Explicit handling of covariate level analysis in deviceevent(),
    define_analyses(), and time_series()
  - Added analysis data frame to time_series() output when covariate
    analysis is requested
  - Covariates can now be EITHER factor OR numeric types when defined in
    deviceevent(). Previously only characters (inferred as factors)
    werea allowed.
  - Covariate analysis definitions include as a whole (marginal effect)
    or as a subset by a factor covariate level
  - Covariate analysis is exempt if there is zero variation in the data
    of the covariate
  - Restructured exposure() to handle factors only in match_levels.

Implantable Devices / Time In-Vivo Handling

  - Explicit handling of time in-vivo in deviceevent(),
    define_analyses(), and time_series()
  - Added analysis data frame to time_series() output when time in-vivo
    analysis is requested
  - CHANGED PARAMETER deviceevent(implant_days) to
    deviceevent(time_invivo) and make all downstream changes.

To-Do List

  - Feature allowing total events (concept of reporting fraction) as an
    exposure data frame
  - Facility for handling multiple events on the same actual occurrence
    (such as stroke and bleeding during the same operation)
  - Explicit implementation of the Unique Device Identifier (UDI)
  - Implementation of IMDRF coding for product malfunctions, patient
    adverse events, and analysis findings

                 Changes in version 0.2.1 (2018-12-10)                  

Implemented Updates

  - More descriptive define_analyses() and time_series() outputs,
    including explicit references to device, event, and covariate
    levels.
  - Alongside more explicit references, corresponding updates to nLabels
    attribute of time_series()
  - Outputs of define_analyses() and time_series() are clearer about the
    device and event one-up hierarchy levels
  - Updated plot() method to support updates to define_analyses() and
    time_series()

mds 0.2.0

Implemented Updates

  - Allow for list variable type in deviceevents() descriptors argument
  - Wrote time_series() examples in documentation & provided sample time
    series dataset called mds_ts
  - Better cross-referenced and linked documentation

Bugfixes

  - exposure() total_events parameter now accepts integer class
  - deviceevent(): Drop records with missing device_levels at all
    hierarchy levels
  - deviceevent(): Drop records with missing event_levels
  - deviceevent(): Drop records with missing covariate levels
  - exposure(): Drop records with missing device_levels at all hierarchy
    levels
  - exposure(): Drop records with missing event_levels
  - exposure(): Drop records with missing match levels

mds 0.1.0

  - Initial Release. Yay!