Title: Flexible Pair-Copula Estimation in D-Vines using Bivariate
Depends: R (>= 2.15.1), lattice, TSP, fda, Matrix, foreach
Description: Flexible Pair-Copula Estimation in D-vines using Bivariate Penalized Splines.
Packaged: 2015-07-09 12:06:14 UTC; cschellhase

Depends: R (>= 2.11.0), lattice, quadprog, TSP, fda
Packaged: 2012-07-23 14:58:40 UTC; cschellhase

Title: Estimating regularized multistate models using L1 penalties.
Description: This package provides features for L1 penalized estimation of multistate models with the penalty applied to absolute effects and absolute effect differences (i.e., effects on transition-type specific hazard rates).
Packaged: 2014-07-02 09:00:31 UTC; Holger Reulen

Title: Estimating Regularized Multi-state Models Using L1 Penalties
Description: 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).
Packaged: 2015-01-12 12:43:14 UTC; Holger Reulen

Title: Variable Selection in PH Cure Model with Time-Varying Covariates
Description: Implementation of the semi-parametric proportional-hazards (PH) of Sy and Taylor (2000) <doi:10.1111/j.0006-341X.2000.00227.x> extended to time-varying covariates. Estimation and variable selection are based on the methodology described in Beretta and Heuchenne (2019) <doi:10.1080/02664763.2018.1554627>; confidence intervals of the parameter estimates may be computed using a bootstrap approach. Moreover, data following the PH cure model may be simulated using a method similar to Hendry (2014) <doi:10.1002/sim.5945>, where the event-times are generated on a continuous scale from a piecewise exponential distribution conditional on time-varying covariates.
Copyright: Copyright (C) 2019 University of Liège (Belgium).
Packaged: 2019-11-05 10:52:18 UTC; alessandroberetta
Author: Alessandro Beretta [aut, cre] (<https://orcid.org/0000-0002-0427-8785>),

Packaged: 2019-12-03 14:26:51 UTC; alessandroberetta