Occ.RN: Royle-Nichols Occupancy Model

In dereksonderegger/OccupancyModels: Functions for analyzing occupancy models using Bayesian methods.

Description

Blah blah some description of the model

Usage

Occ.RN(Y, Covariate.data = NULL, Abundance.formula = ~1,
  Detection.formula = ~1, N.limit = 10, n.chains = 4, n.adapt = 1000,
  n.iter = 1000, num.cores = 1, fit = NA, inits = NULL)

Arguments

Y	A data frame with 5 columns - Species, Site, Observer, Effort, NumDetections
Covariate.data	Data frame with the same number of rows as Y
Abundance.formula	Model formula specifying the relationship between Abundance and the covariates
Detection.formula	Model formula specifying the relationship between Detection probability and the covariates
N.limit	Maximum conceivable number of individuals at a site. Making this too large slows down the model fitting, though.
n.chains	How many MCMC chains to fit.
n.adapt	How long should the burn-in phase be.
n.iter	How many samples to take after the burn-in.
num.cores	How many computer cores to use.
inits	Initial values for the model chains.

Value

An object of type RN_OccupancyModel

dereksonderegger/OccupancyModels documentation built on May 15, 2019, 3:58 a.m.