LL_joint: 'LL_joint' Function for joint log-likelihood with correlation...

In nmm: Nonlinear Multivariate Models

Description

LL_joint Function for joint log-likelihood with correlation between continuous and discrete equations

Usage

LL_joint(
  ffor,
  cheqs0,
  objm = NULL,
  datan = "data",
  cfunc = "cfunc",
  cgrad = "cgrad",
  chess = "chess",
  gfunc = "gfunc",
  hfunc = "hfunc",
  check_hess = FALSE,
  print_out = FALSE,
  bayesian_random = FALSE,
  MNtypef = "logit"
)

Arguments

ffor	Discrete equations.
cheqs0	Continuous equations.
objm	Expressions from cond_mean_cov_expr.
datan	Character string. Name of data-set.
cfunc	Character string. Name for continuous block function.
cgrad	Character string. Name for continuous block gradient.
chess	Character string. Name for continuous block hessian.
gfunc	Character string. Name for joint gradient.
hfunc	Character string. Name for joint Hessian.
check_hess	if TRUE, Hessian is checked.
print_out	if TRUE, prints out LL for each equation.
bayesian_random	If TRUE, than par[1] is changed to par[,1] to be used for optimization of random parameters in Bayesian estimation.
MNtypef	"logit" or "dogit".

Value

Function for joint estimation

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