Package: ecpc 3.1.1

ecpc: Flexible Co-Data Learning for High-Dimensional Prediction

Fit linear, logistic and Cox survival regression models penalised with adaptive multi-group ridge penalties. The multi-group penalties correspond to groups of covariates defined by (multiple) co-data sources. Group hyperparameters are estimated with an empirical Bayes method of moments, penalised with an extra level of hyper shrinkage. Various types of hyper shrinkage may be used for various co-data. Co-data may be continuous or categorical. The method accommodates inclusion of unpenalised covariates, posterior selection of covariates and multiple data types. The model fit is used to predict for new samples. The name 'ecpc' stands for Empirical Bayes, Co-data learnt, Prediction and Covariate selection. See Van Nee et al. (2020) <arxiv:2005.04010>.

Authors:Mirrelijn M. van Nee [aut, cre], Lodewyk F.A. Wessels [aut], Mark A. van de Wiel [aut]

ecpc_3.1.1.tar.gz
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ecpc.pdf |ecpc.html
ecpc/json (API)

# Install 'ecpc' in R:
install.packages('ecpc', repos = c('https://mirrelijn.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

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

22 exports 0.00 score 81 dependencies 9 scripts 1.3k downloads

Last updated 2 years agofrom:c67408db7e. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 11 2024
R-4.5-winNOTESep 11 2024
R-4.5-linuxNOTESep 11 2024
R-4.4-winOKSep 11 2024
R-4.4-macOKSep 11 2024
R-4.3-winOKSep 11 2024
R-4.3-macOKSep 11 2024

Exports:coef.ecpccreateConcreateGroupsetcreateScreateZforGroupsetcreateZforSplinescv.ecpcecpchierarchicalLassoobtainHierarchypenaltiesplot.ecpcpostSelectpredict.ecpcprint.ecpcproduceFoldssimDatsplitMediansummary.ecpcvisualiseGroupsetvisualiseGroupsetweightsvisualiseGroupweights

Dependencies:ashbackportsbitbit64bitopsbootcheckmateclarabelcliclustercodetoolscolorspaceCVXRdata.tabledotCall64ECOSolveRfansifarverfdsfieldsFNNforeachgglassoggplot2glmnetgluegmpgtablehdrcdeisobanditeratorsJOPSkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrmapsMASSMatrixmclustmgcvmulticoolmultiridgemunsellmvtnormnlmeosqppcaPPpillarpkgconfigplyrpracmapROCquadprogR6rainbowRColorBrewerRcppRcppEigenRCurlrlangRmpfrrpartscalesscsSemiParshapesnowsnowfallspamSpATSsurvivaltibbleutf8vctrsviridisLitewithr