baggr: effect_draw – R documentation

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effect_draw

Make posterior draws for treatment effect

Description

This function takes the samples of hyperparameters of a baggr model (commonly hypermean tau and hyper-SD sigma_tau) and simulates values of new realisations of tau (a mean effect in some unobserved group).

Usage

effect_draw(x, n, transform = NULL)

Arguments

`x`	A `baggr` class object.
`n`	How many values to draw? The default is the same as number of samples in the model (default is 2,000).
`transform`	a transformation to apply to the result, should be an R function; (this is commonly used when calling `group_effects` from other plotting or printing functions)

Value

A vector of possible values of the treatment effect.

baggr

Bayesian Aggregate Treatment Effects

v0.4.0

GPL (>= 3)

Authors

Witold Wiecek [cre, aut], Rachael Meager [aut], Brice Green [ctb] (predict(), loo_compare, many visuals), Trustees of Columbia University [cph] (tools/make_cc.R)

Initial release