Extract marginal treatment effects (log odds ratio, risk difference, risk ratio)
from fitted ML-UMR model.
Usage
marginal_effects(
object,
population = c("both", "index", "comparator"),
effect_type = c("auto", "all", "lor", "rd", "rr", "md", "rate_ratio"),
summary = TRUE,
probs = c(0.025, 0.5, 0.975),
...
)
Arguments
- object
An mlumr_fit object
- population
Which population: "both", "index", or "comparator"
- effect_type
Which effect measure: "all", "lor", "rd", or "rr"
- summary
Return summary statistics (TRUE) or full posterior draws (FALSE)
- probs
Quantiles for summary
- ...
Additional arguments (unused)
Value
A data frame with marginal effects
Examples
if (FALSE) { # \dontrun{
# All marginal effects in both populations
marginal_effects(fit)
# Risk differences only
marginal_effects(fit, effect_type = "rd")
# Get posterior draws
draws <- marginal_effects(fit, summary = FALSE)
} # }
