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:
ILSE_1.1.7.tar.gz
ILSE_1.1.7.tar.gz(r-4.5-noble)ILSE_1.1.7.tar.gz(r-4.4-noble)
ILSE_1.1.7.tgz(r-4.4-emscripten)ILSE_1.1.7.tgz(r-4.3-emscripten)
ILSE.pdf |ILSE.html✨
ILSE/json (API)
| # Install 'ILSE' in R: |
| install.packages('ILSE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/feiyoung/ilse/issues
- nhanes - NHANES example - all variables numerical
Last updated 3 years agofrom:76202d6494. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-linux-x86_64 | NOTE | Nov 20 2024 |
Exports:Coefcor.matcov.matfimlregFitted.valuesilsekernprintprint.fimlprint.ilseResidualssummarysummary.fimlsummary.ilse
Dependencies:pbapplyRcppRcppArmadillo
ILSE
Rendered fromILSE.Rmdusingknitr::rmarkdownon Nov 20 2024.Last update: 2022-01-31
Started: 2022-01-07
ILSE: a simple NHANES example
Rendered fromILSE.Realdata.Rmdusingknitr::rmarkdownon Nov 20 2024.Last update: 2022-01-31
Started: 2022-01-07
ILSE: simulated examples
Rendered fromILSE.Simu.Rmdusingknitr::rmarkdownon Nov 20 2024.Last update: 2022-01-31
Started: 2022-01-07
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extracts Regression Coefficients | Coef |
| Generate Two Type of Correlation Matrix | cor.mat |
| Generate Two Type of Covariance Matrix | cov.mat |
| Full Information Maximum Likelihood Linear Regression | fimlreg fimlreg.formula fimlreg.numeric |
| Linear Regression by Iterative Least Square Estimation | ilse ilse.formula ilse.numeric |
| Kernel Function | kern |
| NHANES example - all variables numerical | nhanes |
| Print the Information of FIML or ILSE methods | print print.fiml print.ilse |
| Summarizing the inference information for ILSE or FIML methods | Fitted.values Residuals summary summary.fiml summary.ilse |