summed_log_prior: Sum and Log Prior Density of a EAM model

In TasCL/ggdmc: Dynamic Model of Choice with Parallel Computation, and C++ Capabilities

Description

Get log likelihood summed over all prior parameters

Usage

summed_log_prior(pVec, pPrior)

Arguments

pVec	a parameter vector
pPrior	p.prior

Examples

pVec <- c(a=1, v=1, z=0.5, sz=0.25, sv=0.2,t0=.15)

p.prior  <- prior.p.dmc(
  dists = rep("tnorm", 6),
  p1    = c(a=2,   v=2.5, z=0.5, sz=0.3, sv=1,  t0=0.3),
  p2    = c(a=0.5, v=.5,  z=0.1, sz=0.1, sv=.3, t0=0.05) * 5,
  lower = c(0,-5, 0, 0, 0, 0),
  upper = c(5, 7, 2, 2, 2, 2))

summed_log_prior(pVec, p.prior)
## -3.224406

TasCL/ggdmc documentation built on May 9, 2019, 4:19 p.m.