Package: LinearRegressionMDE 1.0
Jiwoong Kim
LinearRegressionMDE: Minimum Distance Estimation in Linear Regression Model
Consider linear regression model Y = Xb + error where the distribution function of errors is unknown, but errors are independent and symmetrically distributed. The package contains a function named LRMDE which takes Y and X as input and returns minimum distance estimator of parameter b in the model.
Authors:
LinearRegressionMDE_1.0.tar.gz
LinearRegressionMDE_1.0.tar.gz(r-4.5-noble)LinearRegressionMDE_1.0.tar.gz(r-4.4-noble)
LinearRegressionMDE_1.0.tgz(r-4.4-emscripten)LinearRegressionMDE_1.0.tgz(r-4.3-emscripten)
LinearRegressionMDE.pdf |LinearRegressionMDE.html✨
LinearRegressionMDE/json (API)
| # Install 'LinearRegressionMDE' in R: |
| install.packages('LinearRegressionMDE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:3f93a69b04. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 01 2024 |
| R-4.5-linux | OK | Dec 01 2024 |
Exports:LRMDE
Dependencies:
