models_internal: Build the models

In Alexhaoge/rCLIFII: Composite Likelihood Inference for Individual Identifications

Build the models

Description

Build the models

Usage

Model1(mij, nij, tauij, mtau = 1000)

Model2(mij, nij, tauij, mtau = 1000)

Model3(mij, nij, tauij, mtau = 1000)

Model4(Aij, Ai, tauij, mtau = 1000)

Model5(Aij, Ai, tauij, mtau = 1000)

Model6(Aij, Ai, tauij, mtau = 1000)

lir.model.res(
  model,
  mij,
  nij,
  tauij,
  mtau,
  model_cl_fun = NULL,
  cl.H = NULL,
  model.K = NULL
)

lar.model.res(
  model,
  Aij,
  Ai,
  tauij,
  mtau,
  model_cl_fun = NULL,
  cl.H = NULL,
  model.K = NULL
)

Arguments

mij	The number of individuals identified at both time t_i and t_j
nij	The number of individuals identified at time t_i
tauij	Time lag between time t_i and t_j
mtau	The maximum allowable lag time.
Aij	The number of observed associated individuals (in pairs) observed at both time t_i and t_j
Ai	The number of observed associated individuals (in pairs) at time t_i
model	Models of LIR and LAR, or model is formulated by yourself
model_cl_fun	If you formulate your model, please input function to calculate the composite likelihood about your model
cl.H	If you formulate your model, please input the sensitivity matrix with respect to parameters in your model
model.K	If you formulate your model, please input the number of parameters in your model

Alexhaoge/rCLIFII documentation built on Sept. 28, 2023, 11:23 p.m.