create_lc_df_derivOnly: Create a data.frame with the log-normalising derivatives...

In maxbiostat/npowerPrioR: Run a(n approximate) normalised power prior analysis with Stan

Create a data.frame with the log-normalising derivatives (only) for a vector of values of the tempering factor.

Description

Create a data.frame with the log-normalising derivatives (only) for a vector of values of the tempering factor.

Usage

create_lc_df_derivOnly(
  a0_grid,
  compiled.model.prior,
  stan.list,
  pars = NA,
  niter = 5000,
  strict = FALSE,
  step_size = 0.99,
  tdepth = 15
)

Arguments

a0_grid	a vector of values of the tempering factor.
compiled.model.prior	a stan_model object containing the tempered target.
stan.list	list with data for the Stan model.
pars	which parameters to track.
niter	number of iterations, defaults to 5000.
strict	whether to use strict computational specs.
step_size	if spec=TRUE, sets the step_size. Default is step_size = 0.99.
tdepth	if spec=TRUE, sets the tree_depth. Default is tdepth = 15.

Value

a list containing a data.frame with the grid points, log-normalising constant and derivatives. If pars != NA, MCMC summaries for selected parameters are also returned.

maxbiostat/npowerPrioR documentation built on Feb. 22, 2023, 2:13 p.m.