Crandore Hub

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.

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 sicure_0.1.1.tar.gz 64.1 KiB
0.1.1 rolling linux/noble R-4.5 sicure_0.1.1.tar.gz 64.1 KiB
0.1.1 rolling source/ R- sicure_0.1.1.tar.gz 13.1 KiB
0.1.1 latest linux/jammy R-4.5 sicure_0.1.1.tar.gz 64.1 KiB
0.1.1 latest linux/noble R-4.5 sicure_0.1.1.tar.gz 64.1 KiB
0.1.1 latest source/ R- sicure_0.1.1.tar.gz 13.1 KiB
0.1.1 2026-04-26 source/ R- sicure_0.1.1.tar.gz 13.1 KiB
0.1.1 2026-04-23 source/ R- sicure_0.1.1.tar.gz 13.1 KiB
0.1.1 2026-04-09 windows/windows R-4.5 sicure_0.1.1.zip 66.4 KiB
0.1.0 2025-04-20 source/ R- sicure_0.1.0.tar.gz 12.9 KiB

Dependencies (latest)

Imports

Suggests