PredictivePosterior.TSPDE: Generate Predictive Posterior Plots (Bayesian p-values) for...

In BTSPAS: Bayesian Time-Stratified Population Analysis

Generate Predictive Posterior Plots (Bayesian p-values) for number of models.

Description

This is an internal function, not normally of use to users.

Usage

PredictivePosteriorPlot.TSPDE(discrep)

PredictivePosteriorPlot.TSPDE.WHCH2(discrep, ncol = 2, nrow = 2)

PredictivePosteriorPlot.TSPDE.WHSteel(discrep)

PredictivePosteriorPlot.TSPNDE(discrep)

PredictivePosterior.TSPDE(n1, m2, u2, logitP.fixed, p, U)

PredictivePosterior.TSPDE.WHCH(
  time,
  n1,
  m2,
  u2.A,
  u2.N,
  clip.frac.H,
  p,
  U.W,
  U.H,
  hatch.after
)

PredictivePosterior.TSPDE.WHCH2(
  time,
  n1,
  m2,
  u2.A.YoY,
  u2.N.YoY,
  u2.A.1,
  u2.N.1,
  clip.frac.H.YoY,
  clip.frac.H.1,
  p,
  U.W.YoY,
  U.H.YoY,
  U.W.1,
  U.H.1,
  hatch.after.YoY
)

PredictivePosterior.TSPDE.WHSteel(
  time,
  n1,
  m2,
  u2.W.YoY,
  u2.W.1,
  u2.H.1,
  p,
  U.W.YoY,
  U.W.1,
  U.H.1,
  hatch.after
)

PredictivePosterior.TSPNDE(n1, m2, u2, logitP.fixed, p, U, mu, sigma)

PredictivePosterior.TSPNDENP(
  n1,
  m2.expanded,
  u2,
  logitP.fixed,
  p,
  U,
  Theta,
  Delta.max
)

PredictivePosterior.TSPNDENPMarkAvail(
  n1,
  m2.expanded,
  u2,
  logitP.fixed,
  p,
  U,
  Theta,
  ma.p,
  Delta.max
)

Arguments

ma.p	Proportion of marks available, i.e 1-fallback probability

BTSPAS documentation built on May 29, 2024, 4:06 a.m.