dNmixture_steps: Internal helper nimbleFunctions for dNmixture distributions

In nimbleEcology: Distributions for Ecological Models in 'nimble'

Internal helper nimbleFunctions for dNmixture distributions

Description

None of these functions should be called directly.

Usage

nimNmixPois_logFac(numN, ff, max_index = -1)

dNmixture_steps(
  x,
  lambda,
  Nmin,
  Nmax,
  sum_log_one_m_prob,
  sum_log_dbinom,
  usingAD = FALSE
)

dNmixture_BNB_steps(
  x,
  lambda,
  theta,
  Nmin,
  Nmax,
  sum_log_one_m_prob,
  sum_log_dbinom,
  usingAD = FALSE
)

dNmixture_BBP_steps(
  x,
  beta_m_x,
  lambda,
  s,
  Nmin,
  Nmax,
  sum_log_dbetabinom,
  usingAD = FALSE
)

dNmixture_BBNB_steps(
  x,
  beta_m_x,
  lambda,
  theta,
  s,
  Nmin,
  Nmax,
  sum_log_dbetabinom,
  usingAD = FALSE
)

Arguments

numN	number of indices in the truncated sum for the N-mixture.
ff	a derived vector of units calculated partway through the fast N-mixture algorithm.
max_index	possibly the index of the max contribution to the summation. For AD cases this is set by heuristic. For non-AD cases it is -1 and will be determined automatically.
x	x from dNmixture distributions
lambda	lambda from dNmixture distributions
Nmin	start of summation over N
Nmax	end of summation over N
sum_log_one_m_prob	sum(log(1-prob)) from relevant dNmixture cases
sum_log_dbinom	sum(log(dbinom(...))) from relevant dNmixture cases
usingAD	TRUE if called from one of the dNmixtureAD distributions
theta	theta from relevant dNmixture distributions
beta_m_x	beta-x from relevant dNmixture cases
s	s from relevant dNmixture distributions
sum_log_dbetabinom	sum(log(dBetaBinom(...))) from relevant dNmixture cases

Details

These are helper functions for the N-mixture calculations. They don't have an interpretation outside of that context and are not intended to be called directly.

See Also

dNmixture

nimbleEcology documentation built on June 27, 2024, 5:09 p.m.