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_1.1.7.tar.gz(r-4.5-noble)ILSE_1.1.7.tar.gz(r-4.4-noble)
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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-data

14 exports 2 stars 1.59 score 3 dependencies 3 mentions 2 scripts 204 downloads

Last updated 10 months agofrom:5ae1c6646a. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-win-x86_64NOTESep 04 2024
R-4.5-linux-x86_64NOTESep 04 2024
R-4.4-win-x86_64NOTESep 04 2024
R-4.4-mac-x86_64NOTESep 04 2024
R-4.4-mac-aarch64NOTESep 04 2024
R-4.3-win-x86_64NOTESep 04 2024
R-4.3-mac-x86_64NOTESep 04 2024
R-4.3-mac-aarch64NOTESep 04 2024

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

Dependencies:pbapplyRcppRcppArmadillo

ILSE

Rendered fromILSE.Rmdusingknitr::rmarkdownon Sep 04 2024.

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

ILSE: a simple NHANES example

Rendered fromILSE.Realdata.Rmdusingknitr::rmarkdownon Sep 04 2024.

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

ILSE: simulated examples

Rendered fromILSE.Simu.Rmdusingknitr::rmarkdownon Sep 04 2024.

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