Bootstrapping for Propensity Score Analysis

Bootstrapping for propensity score analysis and matching.


News

Version 1.3.3

  • Fixed new R CMD CHECK notes and warnings.
  • Updated for new version of party package.

Version 1.3.0

  • Refactored the function for calculating balance to be shared across all the matching procedures.
  • Added a vignette about the impact of matching order.

Version 1.2.0

  • Fixed an issue where under certain circumnstances there could be a NA effect estimate. These are removed.
  • Added better error checking for when a classification tree with no splits occurs.

Version 1.1.0

  • The summary function now includes a weighted pooled estimate. This estimate is weighted using the inverse balance estimates so that boostrap samples with better balance are weighted more to the estimate than those with worse balance.
  • You can now specify how the balance estimates are aggregated. Possible values include mean (the default), q25, q75, median, or max.
  • Added getPSAbootMethods and global R option "PSAboot.methods" that will return the default set of functions to use in PSAboot.
  • Added a number of parameters to the boxplot function including a tufte style from the ggthemes package.

Version 1.0.0

  • Initial version of PSAboot package for bootstrapping propensity score analysis.

Reference manual

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