f_paras.ini: Initialisation of parameters

View source: R/Parametre.R

f_paras.iniR Documentation

Initialisation of parameters

Description

Initialisation of parameters

Usage

f_paras.ini(data, outcomes, mapped.to.LP, fixed_X0.models,
  fixed_DeltaX.models, randoms_DeltaX.models, randoms_X0.models, nb_RE,
  mod_trans.model, subject, Time, link, knots, DeltaT, maxiter = 25,
  epsa = 1e-04, epsb = 1e-04, epsd = 1e-04, nproc = 1,
  print.info = TRUE)

Arguments

data

indicates the data frame containing all the variables for estimating the model

outcomes

names of the outcomes

mapped.to.LP

indicates which outcome measured which latent process, it is a mapping table between outcomes and latents processes

fixed_X0.models

fixed effects in the submodel for the baseline level of processes

fixed_DeltaX.models

a two-sided linear formula object for specifying the response outcomes (one the left part of ~ symbol) and the covariates with fixed-effects (on the right part of ~ symbol)

randoms_DeltaX.models

random effects in the submodel for change over time of latent processes

randoms_X0.models

random effects in the submodel for the baseline level of processes

nb_RE

number of random effects

mod_trans.model

model for elements of the temporal transition matrix, which captures the temporal influences between latent processes

subject

indicates the name of the covariate representing the grouping structure

Time

indicates the name of the covariate representing the time

link

indicates link used to transform outcome

knots

indicates position of knots used to transform outcomes

DeltaT

indicates the discretization step

maxiter

maximum iteration

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

nproc

number of processor to be used for running this package

print.info

to print information during the liklihood optimization, default value is FALSE

Value

a list


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