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LinearRegressionMDE  

Minimum Distance Estimation in Linear Regression Model
View on CRAN: Click here


Download and install LinearRegressionMDE package within the R console
Install from CRAN:
install.packages("LinearRegressionMDE")

Install from Github:
library("remotes")
install_github("cran/LinearRegressionMDE")

Install by package version:
library("remotes")
install_version("LinearRegressionMDE", "1.0")



Attach the package and use:
library("LinearRegressionMDE")
Maintained by
Jiwoong Kim
[Scholar Profile | Author Map]
First Published: 2015-09-14
Latest Update: 2015-09-14
Description:
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.
How to cite:
Jiwoong Kim (2015). LinearRegressionMDE: Minimum Distance Estimation in Linear Regression Model. R package version 1.0, https://cran.r-project.org/web/packages/LinearRegressionMDE. Accessed 29 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited LinearRegressionMDE R package
View LinearRegressionMDE citation profile
Other R packages that LinearRegressionMDE depends, imports, suggests or enhances
Complete documentation for LinearRegressionMDE
Functions, R codes and Examples using the LinearRegressionMDE R package
Some associated functions: LRMDE . 
Some associated R codes: LRMDE.R .  Full LinearRegressionMDE package functions and examples
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