WeightIt: as.weightit – R documentation

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as.weightit

Create a weightit object manually

Description

This function allows users to get the benefits of a weightit object when using weights not estimated with weightit() or weightitMSM(). These benefits include diagnostics, plots, and direct compatibility with cobalt for assessing balance.

Usage

as.weightit(...)

## Default S3 method:
as.weightit(weights,
            treat,
            covs = NULL,
            estimand = NULL,
            s.weights = NULL,
            ps = NULL,
            ...)

as.weightitMSM(...)

## Default S3 method:
as.weightitMSM(weights,
               treat.list,
               covs.list = NULL,
               estimand = NULL,
               s.weights = NULL,
               ps.list = NULL,
               ...)

Arguments

`weights`	required; a `numeric` vector of weights, one for each unit.
`treat`	required; a vector of treatment statuses, one for each unit.
`covs`	an optional `data.frame` of covariates. For using WeightIt functions, this is not necessary, but for use with cobalt it is.
`estimand`	an optional `character` of length 1 giving the estimand. The text is not checked.
`s.weights`	an optional `numeric` vector of sampling weights, one for each unit.
`ps`	an optional `numeric` vector of propensity scores, one for each unit.
`treat.list`	a list of treatment statuses at each time point..
`covs.list`	an optional list of `data.frame`s of covariates of covariates at each time point. For using WeightIt functions, this is not necessary, but for use with cobalt it is.
`ps.list`	an optional list of `numeric` vectors of propensity scores at each time point.
`...`	additional arguments. These must be named. They will be included in the output object.

Value

An object of class weightit (for as.weightit()) or weightitMSM (for as.weightitMSM()).

Author(s)

Noah Greifer

Examples

treat <- rbinom(500, 1, .3)
weights <- rchisq(500, df = 2)
W <- as.weightit(weights= weights, treat = treat,
                 estimand = "ATE")
summary(W)

WeightIt

Weighting for Covariate Balance in Observational Studies

v0.12.0

GPL (>= 2)

Authors

Noah Greifer [aut, cre] (<https://orcid.org/0000-0003-3067-7154>)

Initial release