subject_specific_objects function

Constructing subject-specific objects required for Gibbs sampler (for subjects with incomplete observations only).

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.

Returns

Subject-specific objects needed for Gibbs sampler.

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.

Examples

# See examples in vignette
vignette("bsfadgp_regular_data_example", package = "DGP4LCF")
vignette("bsfadgp_irregular_data_example", package = "DGP4LCF")