LL_joint_no_corr: 'LL_joint_no_corr' Function for log-likelihood without...

In nmm: Nonlinear Multivariate Models

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 documentation built on Jan. 7, 2021, 5:10 p.m.