Estimating Regularized Multi-state Models Using L1 Penalties
Calculation of risksets needed for partial likelihood formulation of m...
First derivative of the locally quadratic approximated penalty.
ddlpl.
First derivative of the Log Partial Likelihood.
First derivative of the penalty function.
Fisher information matrix of the log partial likelihood of a multistat...
Fisher information matrix of the log partial likelihood of a multistat...
Fisher information matrix of the Poisson log likelihood.
Log Likelihood for Poisson Regression.
Log Partial Likelihood.
Penalty matrix for L1 penalized estimation of multistate models.
penMSM.
plmatrix.
Score vector of the log partial likelihood of a multistate model.
Score vector of the Poisson log likelihood.
Score vector and Fisher information matrix of the Poisson log likeliho...
Structured fusion Lasso penalized estimation of multi-state models with the penalty applied to absolute effects and absolute effect differences (i.e., effects on transition-type specific hazard rates).