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R
baggr

fixed_effects

Effects of covariates on outcome in baggr models

Description

Effects of covariates on outcome in baggr models

Usage

fixed_effects(bg, summary = FALSE, transform = NULL, interval = 0.95)

Arguments

bg

a baggr model
summary

logical; if TRUE returns summary statistic instead of all MCMC samples
transform

a transformation (R function) to apply to the result; (this is commonly used when calling from other plotting or printing functions)
interval

uncertainty interval width (numeric between 0 and 1), if summary=TRUE

Value

A list with 2 vectors (corresponding to MCMC samples) tau (mean effect) and sigma_tau (SD). If summary=TRUE, both vectors are summarised as mean and lower/upper bounds according to interval

See Also

treatment_effect for overall treatment effect across groups, group_effects for effects within each group, effect_draw and effect_plot for predicted treatment effect in new group

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

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