model_nocovars: Estimate model parameters in GLMM using rstan with no...

In atredennick/sageAbundance: Fits population model for sagebrush based on remote sensing data.

Description

Estimate model parameters in GLMM using rstan with no environmental covariates

Usage

model_nocovars(y, lag, K, X, cellid, iters = 2000, warmup = 1000,
  nchains = 1, inits)

Arguments

y	Vector of responses (cover observations)
lag	Vector of lag response for temporal response (previous year's cover)
K	Spatial field matrix
cellid	Vector of unique ID's for each spatial cell, replicate through time
iters	Number of MCMC iterations to run
warmup	Number of MCMC iterations to throw out before sampling (< iters)
nchains	Number of MCMC chains to sample
inits	A list of lists whose length is equal to number of chains. Elements include initial values for parameters to be estimated.

Value

A list with ggs object with MCMC values from rstan and Rhat values for each parameter.

Author(s)

Andrew Tredennick

atredennick/sageAbundance documentation built on May 10, 2019, 2:11 p.m.