Estimates models with increasing number of comparison subjects starting from 1:1 to using all available comparison group subjects.

Usage

psrange(
  df,
  treatvar,
  formula,
  nsteps = 10,
  nboot = 10,
  samples,
  type = c("logistic", "ctree"),
  ...
)

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 glm function) or ctree for Conditional Inference Trees (using the ctree function).
...: 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.