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.zip(r-4.7-any)LinearRegressionMDE_1.0.zip(r-4.6-any)
LinearRegressionMDE_1.0.tar.gz(r-4.7-any)LinearRegressionMDE_1.0.tar.gz(r-4.6-any)
LinearRegressionMDE_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:3f93a69b04. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 102 | ||
| source / vignettes | OK | 328 | ||
| linux-release | OK | 97 | ||
| windows-devel | OK | 62 | ||
| windows-release | OK | 50 | ||
| wasm-release | OK | 101 |
Exports:LRMDE
Dependencies:
