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.

Getting started

Package details

AuthorBeatriz Piñeiro-Lamas [aut, cre] (<https://orcid.org/0000-0003-0673-5377>), Ana López-Cheda [aut], Ricardo Cao [aut]
MaintainerBeatriz Piñeiro-Lamas <b.pineiro.lamas@udc.es>
LicenseGPL (>= 2)
Version0.1.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sicure")

Try the sicure package in your browser

Any scripts or data that you put into this service are public.

sicure documentation built on June 8, 2025, 11:33 a.m.