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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>).

Version: 0.1.0
Imports: caTools, doBy, fda, npcure, StatMatch, stats
Published: 2024-11-04
DOI: 10.32614/CRAN.package.sicure
Author: Beatriz Piñeiro-Lamas ORCID iD [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

Documentation:

Reference manual: sicure.pdf

Downloads:

Package source: sicure_0.1.0.tar.gz
Windows binaries: r-devel: sicure_0.1.0.zip, r-release: sicure_0.1.0.zip, r-oldrel: sicure_0.1.0.zip
macOS binaries: r-devel (arm64): sicure_0.1.0.tgz, r-release (arm64): sicure_0.1.0.tgz, r-oldrel (arm64): sicure_0.1.0.tgz, r-devel (x86_64): sicure_0.1.0.tgz, r-release (x86_64): sicure_0.1.0.tgz, r-oldrel (x86_64): sicure_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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