nmm: LL_joint_no_corr – R documentation

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nmm

LL_joint_no_corr

LL_joint_no_corr Function for log-likelihood without correlation between continuous and discrete equations

Description

LL_joint_no_corr Function for log-likelihood without correlation between continuous and discrete equations

Usage

LL_joint_no_corr(
  ffor,
  cheqs0,
  datan = "data",
  fixed_term = TRUE,
  eq_type = c("joint", "cont", "disc"),
  transform = FALSE,
  hessian = NULL,
  bayesian_random = FALSE,
  eqsys = "sur",
  MNtypef = "logit",
  add_pars = NULL
)

Arguments

`ffor`	Discrete equations.
`cheqs0`	Continuous equations.
`datan`	Character string. Name of data-set.
`fixed_term`	if `TRUE`, includes fixed term in log-likelihood.
`eq_type`	can be "joint"(both blocks estimated but without correlation), "cont", "disc".
`transform`	if `TRUE`, quantile transformation is applied to discrete equations.
`hessian`	Name of hessian function.
`bayesian_random`	If `TRUE`, than par[1] is changed to par[,1] to be used for optimization of random parameters in Bayesian estimation.
`eqsys`	"sur" or "sem".
`MNtypef`	"logit" or "dogit".
`add_pars`	additional parameters to add

Value

ML estimation function

nmm

Nonlinear Multivariate Models

v0.9

GPL (>= 2)

Authors

Simona Jokubauskaite [aut, cre], Reinhard Hoessinger [aut], Friedrich Leisch [aut]

Initial release

LL_joint_no_corr

Description

Usage

Arguments

Value

nmm

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