site.simulate: Posterior predictive sampling, aggregtion of abundance...

In dsjohnson/agTrend.gam: Estimate Linear Trends for Aggregated Abundance Data

Description

Function for sampling from the posterior predictive distribution of abundance (counts) at individual sites. Then aggregating the counts over the specified aggregation variable.

Usage

site.simulate(data, obs.formula = NULL, sig.abund = NULL, min.k = 3,
  forecast = 0, family = c("tweedie", "log.normal"), ln.adj = 0,
  obs.prior = NULL, upper = Inf, lower = -Inf, fit.only = FALSE,
  post.size = 1000)

Arguments

post.size

Value

A named list with the following elements:

site.summary	A summary of the abundance augmentation for every site and every time.
posterior.sample	A named list containing all of the MCMC sample after thinning.
original.data	The original data in data.

dsjohnson/agTrend.gam documentation built on May 6, 2019, 1:35 a.m.