pred: Function that computes the predictions (marginal and...
In bachirtadde/CInLPN: Causal Inference for Latent Processes Network

View source: R/RcppExports.R

pred	R Documentation

Function that computes the predictions (marginal and subject-specific) for individuals

Description

Function that computes the predictions (marginal and subject-specific) for individuals

Usage

pred(K, nD, mapping, paras, m_is, Mod_MatrixY, df, x, z, q, nb_paraD, x0,
  z0, q0, if_link, tau, tau_is, modA_mat, DeltaT, MCnr, minY, maxY, knots,
  degree, epsPred)

Arguments

`K`	an integer indicating the number of markers
`nD`	an integer indicating the number of latent processes
`mapping`	indicates which outcome measured which latent process, it is a mapping table between outcomes and latents processes
`paras`	values of model parameters
`m_is`	vector of numbers of visit occasions for individuals
`Mod_MatrixY`	model.matrix from markers transformation submodels
`df`	vector of numbers of parameters for each transformation model
`x`	model.matrix for change's fixed submodel
`z`	model.matrix for change's random effects submodel
`q`	a vector of number of random effects on each change latent process over time
`nb_paraD`	number of paramerters of the variance-covariance matrix of random effects
`x0`	model.matrix for baseline's fixed submodel
`z0`	model.matrix for baseline's random effects submodel
`q0`	a vector of number of random effects on each initial latent process level
`if_link`	indicates if non linear link is used to transform an outcome
`tau`	a vector of integers indicating times (including maximum time)
`tau_is`	a vector of integers indicating times for individuals
`modA_mat`	model.matrix for elements of the transistion matrix
`DeltaT`	double that indicates the discretization step
`MCnr`	an integer that indicates the number of sample for MC method
`minY`	a vector of minima of outcomes
`maxY`	a vector of maxima of outcomes
`knots`	indicates position of knots used to transform outcomes
`degree`	indicates degree of the basis of splines
`epsPred`	convergence criteria for prediction using MC method