Package: sicure 0.1.1

Beatriz Piñeiro-Lamas

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.

Authors:Beatriz Piñeiro-Lamas [aut, cre], Ana López-Cheda [aut], Ricardo Cao [aut]

sicure_0.1.1.tar.gz
sicure_0.1.1.tar.gz(r-4.7-any)sicure_0.1.1.tar.gz(r-4.6-any)
sicure_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
sicure/json (API)

# Install 'sicure' in R:

install.packages('sicure', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 178 downloads 8 exports 83 dependencies

Last updated from:28ff962666. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	147
source / vignettes	OK	256
linux-release-x86_64	OK	129
wasm-release	OK	119

Exports:cd.sm.uncured cd.uncured k.epa kNN.Mahalanobis probcure.sm sicure.f sicure.v sicure.vf

Dependencies:ash backports bitops boot broom caTools cli cluster colorspace cowplot cpp11 DBI Deriv deSolve doBy dplyr farver fda fds FNN forecast fracdiff generics ggplot2 glue gtable hdrcde isoband kernlab KernSmooth ks labeling lattice lifecycle lmtest locfit lpSolve magrittr MASS Matrix mclust mgcv microbenchmark minqa mitools modelr multicool mvtnorm nlme nnet npcure numDeriv pcaPP permute pillar pkgconfig pracma proxy purrr R6 rainbow RColorBrewer Rcpp RcppArmadillo RCurl rlang S7 scales StatMatch stringi stringr survey survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Help page	Topics
Smoothed cross-validation conditional density estimator of the susceptible population	cd.sm.uncured
Cross-validation conditional density of the susceptible population	cd.uncured
Objective function	fun.opt
Rescaled Epanechnikov kernel	k.epa
K Nearest Neighbors with Mahalanobis Distance	kNN.Mahalanobis
Logarithm of the likelihood of a single-index mixture cure model	loglik.simcm
Smoothed version of the nonparametric estimator of the conditional probability of cure	probcure.sm
Estimation of the vector of parameters in a single-index mixture cure model with a functional covariate	sicure.f
Estimation of the vector of parameters in a single-index mixture cure model with a vector of covariates	sicure.v
Estimation of the vector of parameters in a single-index mixture cure model with a vector and a functional covariate	sicure.vf

Package: sicure 0.1.1

sicure: Single-Index Mixture Cure Models

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