YiNui: Function that computes the difference (mat_Yi - mat_Nu_i),...
In bachirtadde/CInLPN: Causal Inference for Latent Processes Network

YiNui

R Documentation

Function that computes the difference (mat_Yi - mat_Nu_i), delates missing values (NAs) and returns a vector. mat_Yi is the outcomes and mat_Nu_i is the expectation

Description

Function that computes the difference (mat_Yi - mat_Nu_i), delates missing values (NAs) and returns a vector. mat_Yi is the outcomes and mat_Nu_i is the expectation

Usage

YiNui(nD, matrixP, tau, tau_i, DeltaT, Yi, x0i, alpha_mu0, xi, alpha_mu,
  G_mat_A_0_to_tau_i)

Arguments

`nD`	an integer indicating the number of processes
`matrixP`	a matrix that matches markers to latent processes
`tau`	a vector of integers indicating times
`tau_i`	a vector of integers indicating times for individual i
`DeltaT`	double that indicates the discretization step
`Yi`	a matrix of the outcomes
`x0i`	model.matrix for baseline's submodel
`alpha_mu0`	a vector of parameters associated to the model.matrix for the baseline's submodel
`xi`	model.matrix for change's submodel
`alpha_mu`	a vector of parameters associated to the model.matrix for the change's submodel
`G_mat_A_0_to_tau_i`	matrix containing Prod(A_t)t=0,tau_i where A_t is the transition matric containing at time t