drawn_cdf_sim: Simulate from a drawn CDF

In sctyner/dprocsim: Distribution Estimation Accounting for Prior Uncertainty in a Bayesian Analysis

Description

After using the shiny app, dprocsim::run_shiny(), take the downloaded data and simulate from the resulting mean CDF value.

Usage

drawn_cdf_sim(shinydat, xgrid, ubnd = "bound 1", lbnd = "bound 2",
  meth)

Arguments

shinydat	Data frame. Output from the shiny app containing information on the two sets of clicked bounds, the two smoothed functions, and the resulting mean function.
xgrid	Vector. Sequence of domain values at which to evaluate the CDF.
ubnd	Character. Name of upper bound. Either "bound 1" or "bound 2".
lbnd	Character. Name of lower bound. Either "bound 1" or "bound 2".
meth	Character. Approximation method. either "splines" for smooth.spline() or "linear" for approxfun()

sctyner/dprocsim documentation built on June 30, 2019, 11:51 a.m.