tpmSeqs: Update eigen values, vectors, and inverse matrices for irms

In fintzij/BDAepimodel: Fit Stochastic Epidemic Models in R via Bayesian Data Augmentation

Description

Update eigen values, vectors, and inverse matrices for irms

Usage

tpmSeqs(tpms, pop_mat, real_eigen_vals, imag_eigen_vals, eigen_vecs,
  inverse_vecs, irm_keys, n_real_eigs, irms)

Arguments

tpms	array of transition probability matrices to be modified
pop_mat	population level bookkeeping matrix
real_eigen_vals	matrix with the real parts of the eigen values
imag_eigen_vals	matrix with the imaginary parts of the eigenvalues
eigen_vecs	array of eigen vectors of rate matrices
inverse_vecs	array of inverse matrices of eigen vectors
irm_keys	vector of irm array keys
n_real_eigs	integer vector indicating how many eigen values are real

Value

Updated eigenvalues, eigenvectors, and inverse matrices

fintzij/BDAepimodel documentation built on Sept. 20, 2020, 1:44 p.m.