stable_run: This function generates stable parameters across a range of...

In DASpringate/rUCsims: rUCsims

Description

This function generates stable parameters across a range of ORs and then produces data for replicates at these parameter levels.

Usage

stable_run(Ubs, pY_target, pE_target, obs_stable, obs_run, method,
  iter_fn = iter_fn_1, adjust_fn = lin_adjust, cores = 1, reps = 10,
  agg_subset = NULL, ...)

Arguments

Ubs	vector of odds ratios
pY_target	numeric target for the total population prevalence of Y
pE_target	numeric target for the total population prevalence of E
obs_stable	number of observations for the stabilising run
obs_run	number of observations for the main run
method	the simulation method to be used. See 'simulate_UC'
iter_fn	function defining how new stabilising parameters are generated
adjust_fn	the method to be used for adjustment for unmeasured confounders
cores	number of processor cores to use (passed to mclapply)
...	arguments to be passed to sims_fn

Value

list containing data and aggregated data

DASpringate/rUCsims documentation built on May 6, 2019, 1:16 p.m.