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>). Funding: This work, integrated into the framework of PERTE for Vanguard Health, has been co-financed by the Spanish Ministry of Science, Innovation and Universities with funds from the European Union NextGenerationEU, from the Recovery, Transformation and Resilience Plan (PRTR-C17.I1) and from the Autonomous Community of Galicia within the framework of the Biotechnology Plan Applied to Health.
| Version: |
0.1.1 |
| Imports: |
caTools, doBy, fda, npcure, StatMatch, stats |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2025-04-21 |
| 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 |
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