Changelog

multilevelMatching 1.0.0

  • Original CRAN release version by Shu Yang (@shuyang1987) and Brian G Barkley (@BarkleyBG).
  • Added multiMatch() function to carry out all types of matching. This effectively combines multilevelGPSMatch() and multilevelMatchX() into one function. Features include:
  • Better output:
    • tidier estimates: see estimateTau()
    • plus more information from under-the-hood: see the impute_mat object for matrix off all imputed potential outcomes.
  • Now allows for one-to-many matches for the main matching procedure (and imputing potential outomces). The user may specify M_matches >=1.
  • Now allows for one-to-many matches to estimate the variance component. The user may specify J_var_matches >=1.
  • Allowed for more user-specified arguments (for fitting PS models) i.e. model_options
  • Divergence: Using multiMatch() with match_on='existing' does not always return the same results as using multilevelGPSMatch() for matching on the existing (user-specified) generalized propensity scores.
  • Added S3 methods for print and summary for the multiMatch class
  • Added S3 methods for print and summary for the multiMatch class
  • Users can apply the estimateTrtModel() function before using multiMatch() to verify that the model fitted in multiMatch() is the same as the user desires

multilevelMatching 0.1.0