Package: ILSE 1.1.7

Wei Liu

ILSE: Linear Regression Based on 'ILSE' for Missing Data

Linear regression when covariates include missing values by embedding the correlation information between covariates. Especially for block missing data, it works well. 'ILSE' conducts imputation and regression simultaneously and iteratively. More details can be referred to Huazhen Lin, Wei Liu and Wei Lan. (2021) <doi:10.1080/07350015.2019.1635486>.

Authors:Wei Liu [aut, cre], Huazhen Lin [aut], Wei Lan [aut]

ILSE_1.1.7.tar.gz
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ILSE.pdf |ILSE.html
ILSE/json (API)

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

Peer review:

Bug tracker:https://github.com/feiyoung/ilse/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • nhanes - NHANES example - all variables numerical

On CRAN:

fimlilselinear-regressionmissing-dataopenblascpp

4.95 score 2 stars 3 scripts 233 downloads 3 mentions 14 exports 3 dependencies

Last updated 1 years agofrom:5ae1c6646a. Checks:1 OK, 10 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 01 2025
R-4.5-win-x86_64NOTEFeb 01 2025
R-4.5-mac-x86_64NOTEFeb 01 2025
R-4.5-mac-aarch64NOTEFeb 01 2025
R-4.5-linux-x86_64NOTEFeb 01 2025
R-4.4-win-x86_64NOTEFeb 01 2025
R-4.4-mac-x86_64NOTEFeb 01 2025
R-4.4-mac-aarch64NOTEFeb 01 2025
R-4.3-win-x86_64NOTEFeb 01 2025
R-4.3-mac-x86_64NOTEFeb 01 2025
R-4.3-mac-aarch64NOTEJan 02 2025

Exports:Coefcor.matcov.matfimlregFitted.valuesilsekernprintprint.fimlprint.ilseResidualssummarysummary.fimlsummary.ilse

Dependencies:pbapplyRcppRcppArmadillo

ILSE

Rendered fromILSE.Rmdusingknitr::rmarkdownon Feb 01 2025.

Last update: 2022-01-30
Started: 2021-12-26

ILSE: a simple NHANES example

Rendered fromILSE.Realdata.Rmdusingknitr::rmarkdownon Feb 01 2025.

Last update: 2022-01-30
Started: 2021-12-26

ILSE: simulated examples

Rendered fromILSE.Simu.Rmdusingknitr::rmarkdownon Feb 01 2025.

Last update: 2022-01-30
Started: 2021-12-26