Estimate the (very rough) time to run SEQuential analysis on current machine

Usage

SEQestimate(
  data,
  id.col,
  time.col,
  eligible.col,
  treatment.col,
  outcome.col,
  time_varying.cols = list(),
  fixed.cols = list(),
  method,
  options,
  verbose = TRUE
)

Arguments

data: data.frame or data.table, if not already expanded with SEQexpand(), will perform expansion according to arguments passed to either params or ...
id.col: String: column name of the id column
time.col: String: column name of the time column
eligible.col: String: column name of the eligibility column
treatment.col: String: column name of the treatment column
outcome.col: String: column name of the outcome column
time_varying.cols: List: column names for time varying columns
fixed.cols: List: column names for fixed columns
method: String: method of analysis to perform
options: List: optional list of parameters from SEQopts()
verbose: Logical: if TRUE, cats progress to console, default is TRUE

Value

A list of (very rough) estimates for the time required for SEQuential containing:

modelTime estimated time used when running models
expansionTime estimated time used when expanding data
totalTime sum of model and expansion time

Details

This is a rough heuristic only. Empirically its predictions land within roughly a factor of two of observed run time, and the direction of the error depends on the configuration (e.g. it can over- or under-estimate as followup.max changes), so the result should be treated as an order-of-magnitude guide rather than a reliable timing.