sicure: Single-Index Mixture Cure Models
Single-index mixture cure models allow estimating the probability of cure and the latency depending on a vector (or functional) covariate, avoiding the curse of dimensionality. The vector of parameters that defines the model can be estimated by maximum likelihood. A nonparametric estimator for the conditional density of the susceptible population is provided. For more details, see Piñeiro-Lamas (2024) (<https://ruc.udc.es/dspace/handle/2183/37035>).
| Version: | 0.1.0 |
| Imports: | caTools, doBy, fda, npcure, StatMatch, stats |
| Published: | 2024-11-04 |
| DOI: | 10.32614/CRAN.package.sicure |
| Author: | Beatriz Piñeiro-Lamas
 [aut, cre],
Ana López-Cheda [aut],
Ricardo Cao [aut] |
| Maintainer: | Beatriz Piñeiro-Lamas <b.pineiro.lamas at udc.es> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | sicure results |
Documentation:
| Reference manual: | sicure.pdf |
Downloads:
| Package source: | sicure_0.1.0.tar.gz |
| Windows binaries: | r-devel: sicure_0.1.0.zip, r-release: sicure_0.1.0.zip, r-oldrel: sicure_0.1.0.zip |
| macOS binaries: | r-release (arm64): sicure_0.1.0.tgz, r-oldrel (arm64): sicure_0.1.0.tgz, r-release (x86_64): sicure_0.1.0.tgz, r-oldrel (x86_64): sicure_0.1.0.tgz |
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