Package: HDCI 1.0-2

HDCI: High Dimensional Confidence Interval Based on Lasso and Bootstrap

Fits regression models on high dimensional data to estimate coefficients and use bootstrap method to obtain confidence intervals. Choices for regression models are Lasso, Lasso+OLS, Lasso partial ridge, Lasso+OLS partial ridge.

Authors:Hanzhong Liu, Xin Xu, Jingyi Jessica Li

HDCI_1.0-2.tar.gz
HDCI_1.0-2.zip(r-4.5)HDCI_1.0-2.zip(r-4.4)HDCI_1.0-2.zip(r-4.3)
HDCI_1.0-2.tgz(r-4.4-any)HDCI_1.0-2.tgz(r-4.3-any)
HDCI_1.0-2.tar.gz(r-4.5-noble)HDCI_1.0-2.tar.gz(r-4.4-noble)
HDCI_1.0-2.tgz(r-4.4-emscripten)HDCI_1.0-2.tgz(r-4.3-emscripten)
HDCI.pdf |HDCI.html✨
HDCI/json (API)

Peer review:

Bug tracker:https://github.com/xinxuyale/hdci/issues

On CRAN:

12 exports 1.40 score 13 dependencies 2 dependents 1 mentions 31 scripts 186 downloads

Last updated 6 years agofrom:8b93bf98f1. Checks:OK: 7. Indexed: yes.

Exports:bootLassobootLassoOLSbootLOPRbootLPRciescv.glmnetLassoLassoOLSLPRmlsmypredictPartRidge

Dependencies:codetoolsdoParallelforeachglmnetiteratorslatticeMatrixmvtnormRcppRcppEigenshapeslamsurvival