Description Usage Arguments Value

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

1 2 |

`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.

multilevelPSA documentation built on May 29, 2017, 7:53 p.m.

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