complexTPM: Construct a transition probability matrix for a rate matrix...
In fintzij/BDAepimodel: Fit Stochastic Epidemic Models in R via Bayesian Data Augmentation
Description
Usage
Arguments
Value
Description
Construct a transition probability matrix for a rate matrix with complex
eigenvalues using the real canonical form of the decomposition.
Usage
1
complexTPM(real_vals, imag_vals, vecs, inv_vecs, dt, n_real)
Arguments
vecs
matrix of eigenvectors (positive complex conjugate)
inv_vecs
inverse matrix of eigenvectors
dt
time interval
vals
vector of eigenvalues of type cx_vec
Value
Updated eigenvalues, eigenvectors, and inverse matrices
fintzij/BDAepimodel documentation built on Sept. 20, 2020, 1:44 p.m.
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Description Usage Arguments Value
Description
Construct a transition probability matrix for a rate matrix with complex eigenvalues using the real canonical form of the decomposition.
Usage
1 | complexTPM(real_vals, imag_vals, vecs, inv_vecs, dt, n_real)
|
Arguments
vecs |
matrix of eigenvectors (positive complex conjugate) |
inv_vecs |
inverse matrix of eigenvectors |
dt |
time interval |
vals |
vector of eigenvalues of type cx_vec |
Value
Updated eigenvalues, eigenvectors, and inverse matrices
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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