rwe_stan: Call STAN models

In psrwe: PS-Integrated Methods for Incorporating Real-World Evidence in Clinical Studies

Call STAN models

Description

Call STAN models. Called by psrwe_powerp.

Usage

rwe_stan(
  lst_data,
  stan_mdl = c("powerps", "powerpsbinary", "powerp", "powerps_wattcon"),
  chains = 4,
  iter = 2000,
  warmup = 1000,
  control = list(adapt_delta = 0.95),
  ...
)

Arguments

lst_data	List of study data to be passed to STAN
stan_mdl	STAN model including powerps PS-power prior model for continuous outcomes powerpsbinary PS-power prior model for binary outcomes powerp Power prior model powerps_wattcon Power prior model with ATT weights for continuous outcomes
chains	STAN parameter. Number of Markov chains
iter	STAN parameter. Number of iterations
warmup	STAN parameter. Number of burn-in.
control	STAN parameter. See rstan::stan for details.
...	other options to call STAN sampling such as thin, algorithm. See rstan::sampling for details.#'

Value

Result from STAN sampling

psrwe documentation built on Aug. 21, 2026, 9:14 a.m.