eval_dens: Density Estimation for a DP Posterior

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

Description

Compute density esimates for a value by computing difference in distribution values for a small interval around value of interest.

Usage

eval_dens(x, epsilon, sims, ...)

Arguments

x	A numeric. Value in the domain at which to evaluate the posterior.
epsilon	A numeric. Small value around which to estimate the density.
sims	A tibble. Simulations from dppost_sim2() (preferred) or dppost_sim().
...	Named arguments to pass to to the centering function.

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