get_N_distribution: Approximate Posterior Distribution of N

In philipshirk/nmmsims: Simulate & Analyze N-mixture Model Data

Description

Function for getting an estimate of the posterior distribution of N from my optim models. This is from the unmarked::ranef() function: https://github.com/rbchan/unmarked/blob/master/R/ranef.R and is needed for calculating Observation rq residuals.

Usage

get_N_distribution(
  lambda_est,
  n_obs,
  K = NA,
  p_est = NA,
  sampling_method = "pointcount",
  if_distance__sigma_est = NA,
  if_distance__W = NA,
  if_distance__y_list = NA
)

Arguments

lambda_est	estimated lambda value
n_obs	number observed
K	maximum N possible (typically obtained from n_obs)
p_est	detection probability. Given if sampling_method == 'pointcount'. Calculated from if_distance__sigma_est if sampling_method == 'distance'
sampling_method	either 'pointcount' or 'distance'
if_distance__sigma_est	Estimated detection parameter, sigma. Only needed if sampling_method == distance
if_distance__W	Transect half-width. Only needed if sampling_method == distance
if_distance__y_list	array of distance data with row = site, col = repl, 3rd dim = observations. Only needed if sampling_method == distance

Value

PDF of possible counts. Formatted as an array of probabilities with row = site, col = repl, 3rd dim = observations.

philipshirk/nmmsims documentation built on Feb. 26, 2020, 11:27 a.m.