fixed_effects {baggr} | R Documentation |
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 |
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 |
Value
A matrix: columns are covariate coefficients and rows are draws from the posterior distribution.
Number of rows depends on iterations in the MCMC (i.e. x
in baggr(..., iter = x')
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 (which you can condition on fixed effects using new data argument)