Single-Index Mixture Cure Models R package sicure version 0.1.1 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. Software Imports: caTools, doBy, fda, npcure, StatMatch, stats Suggests: testthat (>= 3.0.0) Beatriz Piñeiro-Lamas <b.pineiro.lamas@udc.es> Comprehensive R Archive Network (CRAN) Beatriz Piñeiro-Lamas [aut, cre] (ORCID: <https://orcid.org/0000-0003-0673-5377>), Ana López-Cheda [aut], Ricardo Cao [aut] GPL (>= 2) 2025-04-21 application/tgz https://CRAN.R-project.org/package=sicure doi:10.32614/CRAN.package.sicure