ExactSurvivor

class HJCFIT.likelihood.ExactSurvivor(_matrix, _tau)[source]

Computes exact missed-event survivor function.

Parameters:
  • qmatrix – The Q-matrix for which to compute the exact likelihood.

  • double (float) – The maximum length of missed events.

D_af(_i)[source]

\(D_i\) matrices for af.

D_fa(_i)[source]

\(D_i\) matrices for fa.

af(*args)[source]

Open to close transitionsOpen to close transitions

property eigenvalues_af

Eigenvalues in of the transition matrix.

This is the real part of the eigenvalues only.

property eigenvalues_fa

Eigenvalues in of the transpose transition matrix.

This is the real part of the eigenvalues only. For numerical reasons, the order of the eigenvalues for AF and FA recursion may be different

fa(*args)[source]

Closed to open transitionsClosed to open transitions

recursion_af(i, m, l)[source]

\(C_{iml}\) recursion matrices for af.

recursion_fa(i, m, l)[source]

\(C_{iml}\) recursion matrices for fa.

property tau

Resolution or maximum length of the missed events

property thisown

The membership flag