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