Description Usage Arguments Value

Stratification implementation for bootstrapping.

1 | ```
boot.strata(Tr, Y, X, X.trans, formu, nstrata = 5, ...)
``` |

`Tr` |
vector indicating treatment assignment. |

`Y` |
vector of outcome. |

`X` |
matrix or data frame of covariates. |

`X.trans` |
a data frame of |

`formu` |
the formula to use to estimate propensity scores. Note that the
dependent varaible (i.e. treatment variable) name will be updated using
the |

`nstrata` |
number of strata to divide the propensity scores. |

`...` |
other parameters passed from |

a list with three elements:

`summary`

a named numeric vector (with at minimum

`estimate`

,`ci.min`

, and`ci.max`

but other values allowed)`balance`

a named numeric vector with one element per covariate listed in

`X.trans`

representing a balance statistic (usually standardized effect size after adjustment)`details`

an arbitrary object that contains the full results of the analysis

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