CInLPN.estim: Title

In bachirtadde/CInLPN: Causal Inference for Latent Processes Network

Title

Description

Title

Usage

CInLPN.estim(K, nD, mapping.to.LP, data, if_link = if_link, DeltaT = 1,
  paras, maxiter = 500, nproc = 1, epsa = 1e-04, epsb = 1e-04,
  epsd = 0.001, print.info = FALSE)

Arguments

K	number of outcomes
nD	number of latent processes
mapping.to.LP	indicates which outcome measured which latent process, it is a mapping table between outcomes and latents processes
data	indicates the data frame containing all the variables for estimating the model
if_link	indicates if non linear link is used to transform an outcome
DeltaT	indicates the discretization step
paras	initial values for parameters
maxiter	maximum iteration
nproc	number of processor to be used for running this package, default value is 1
epsa	threshold for the convergence criterion on the parameters, default value is 1.e-4
epsb	threshold for the convergence criterion on the likelihood, default value is 1.e-4
epsd	threshold for the convergence criterion on the derivatives, default value is 1.e-3
print.info	to print information during the liklihood optimization, default value is FALSE

Value

CInLPN object

bachirtadde/CInLPN documentation built on June 30, 2023, 11:47 a.m.