R: Estimating Regularized Multi-state Models Using L1 Penalties

# Estimating Regularized Multi-state Models Using L1 Penalties

## Documentation for package ‘penMSM’ version 0.99

- DESCRIPTION file

## Help Pages

buildrisksets | Calculation of risksets needed for partial likelihood formulation of multistate models.
dapproxpenalty | First derivative of the locally quadratic approximated penalty.
ddlpl | ddlpl.
dlpl | First derivative of the Log Partial Likelihood.
dpenaltyfunction | First derivative of the penalty function.
fishercpp | Fisher information matrix of the log partial likelihood of a multistate model.
fisherinfo | Fisher information matrix of the log partial likelihood of a multistate model.
fisherinfoP | Fisher information matrix of the Poisson log likelihood.
llP | Log Likelihood for Poisson Regression.
lpl | Log Partial Likelihood.
penaltymatrix | Penalty matrix for L1 penalized estimation of multistate models.
penMSM | penMSM.
plmatrix | plmatrix.
scorevector | Score vector of the log partial likelihood of a multistate model.
scorevectorP | Score vector of the Poisson log likelihood.
sF | Score vector and Fisher information matrix of the Poisson log likelihood.