Propensity Score Weighting
recurrent_propensity Adds propensity score to any data set that is being regressed upon.
recurrent_propensity(data, vars)
data |
Data frame that contains all covariates and outcomes. First column should be ID |
vars |
Variables used for regression. Outcome variable must be first. |
Using a logistic regression, will take covariates and create propensity scores, and adds the weights. Uses the standard logistic regression to evaluate the propensity score.
Returns a modified table from what was originally given with the new columns propensity scores. Essentially original df + 2 columns.
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