f_paras.ini | R Documentation |
Initialisation of parameters
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)
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 |
a list
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