desc.wts | R Documentation |

`desc.wts`

assesses the quality of a set of weights on balancing a treatment
and control group.

```
desc.wts(data,
w,
sampw = sampw,
vars = NULL,
treat.var,
tp,
na.action = "level",
perm.test.iters=0,
verbose=TRUE,
alerts.stack,
estimand, multinom = FALSE, fillNAs = FALSE)
```

`data` |
a data frame containing the dataset |

`w` |
a vector of weights equal to |

`sampw` |
sampling weights, if provided |

`vars` |
a vector of variable names corresponding to |

`treat.var` |
the name of the treatment variable |

`tp` |
a title for the method “type" used to create the weights, used to label the results |

`na.action` |
a string indicating the method for handling missing data |

`perm.test.iters` |
an non-negative integer giving the number of iterations
of the permutation test for the KS statistic. If |

`verbose` |
if TRUE, lots of information will be printed to monitor the the progress of the fitting |

`alerts.stack` |
an object for collecting warnings issued during the analyses |

`estimand` |
the estimand of interest: either "ATT" or "ATE" |

`multinom` |
Indicator that weights are from a propsensity score analysis with 3 or more treatment groups. |

`fillNAs` |
If |

`desc.wts`

calls `bal.stat`

to assess covariate balance.
If `perm.test.iters>0`

it will call `bal.stat`

multiple
times to compute Monte Carlo p-values for the KS statistics and the maximum KS
statistic. It assembles the results into a list object, which usually becomes
the `desc`

component of ps objects that `ps`

returns.

See the description of the `desc`

component of the `ps`

object that
`ps`

returns

`ps`

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