Estimates models with increasing number of comparision subjects starting from 1:1 to using all available comparison group subjects.
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df |
data frame with variables to pass to glm |
treatvar |
vector representing treatment placement. Should be coded as 0s (for control) and 1s (for treatment). |
formula |
formula for logistic regression model |
nsteps |
number of steps to estimate from 1:1 to using all control records. |
nboot |
number of models to execute for each step. |
samples |
the sample sizes to draw from control group for each step. |
type |
either logistic for Logistic regression (using |
... |
other parameters passed to glm. |
a class of psrange that contains a summary data frame, a details data frame, and a list of each individual result from glm.
Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.
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