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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
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

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