| subject_specific_objects {DGP4LCF} | R Documentation |
Constructing subject-specific objects required for Gibbs sampler (for subjects with incomplete observations only).
Description
Constructing subject-specific objects required for Gibbs sampler (for subjects with incomplete observations only).
Usage
subject_specific_objects(k, q, a_full, a_avail, cor_all)
Arguments
k |
A numeric scalar. Number of latent factors. |
q |
A numeric scalar. Number of time points in the complete factor covariance matrix. |
a_full |
A q-dimensional numeric vector. Complete time sorted from early to late. |
a_avail |
A vector of time when gene expressions are available, sorted from early to late. |
cor_all |
A matrix of dimension (kq, kq). Correlation matrix of latent factor scores. |
Details
This function is used to extract subject-specific factor covariance matrix from the complete factor covariance matrix, through constructing subject-specific indicator matrix, which indicates time indexes when gene expression are available.
Value
Subject-specific objects needed for Gibbs sampler.
Examples
# See examples in vignette
vignette("bsfadgp_regular_data_example", package = "DGP4LCF")
vignette("bsfadgp_irregular_data_example", package = "DGP4LCF")