L1mstate: L1-Regularized Multi-State Models

Fitting the regularization path of the L1-regularized multi-state models since they can exploit sparsity structure of input. Different tuning regularization parameter methods are provided. The cumulative hazard rate estimation and the transition probability predictions can be made from the fitted models.

Version: 1.0
Depends: Matrix (≥ 1.2-10), MASS, mstate, colorspace
Imports: Rcpp (≥ 1.0.1)
LinkingTo: Rcpp, RcppEigen
Published: 2020-02-20
Author: Xuan Dang
Maintainer: Xuan Dang <xuandang11289 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: L1mstate results

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Reference manual: L1mstate.pdf
Package source: L1mstate_1.0.tar.gz
Windows binaries: r-prerelease: L1mstate_1.0.zip, r-release: L1mstate_1.0.zip, r-oldrel: L1mstate_1.0.zip
macOS binaries: r-prerelease: L1mstate_1.0.tgz, r-release: L1mstate_1.0.tgz, r-oldrel: L1mstate_1.0.tgz

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