NEWS.md

In shuyang1987/multilevelMatching: Propensity Score Matching and Subclassification in Observational Studies with Multi-Level Treatments

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

• Original package version, released to GitHub by Shu Yang (@shuyang1987). See Release v0.1.0.

shuyang1987/multilevelMatching documentation built on Dec. 3, 2019, 4:04 p.m.