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.

Author
Jiwoong Kim [aut, cre]
Date of publication
2015-09-14 09:12:47
Maintainer
Jiwoong Kim <kimjiwo2@stt.msu.edu>
License
GPL-2
Version
1.0

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Man pages

LRMDE
Performs minimum distance estimation in linear regression...

Files in this package

LinearRegressionMDE
LinearRegressionMDE/inst
LinearRegressionMDE/inst/LegendreTable.csv
LinearRegressionMDE/NAMESPACE
LinearRegressionMDE/R
LinearRegressionMDE/R/LRMDE.R
LinearRegressionMDE/MD5
LinearRegressionMDE/DESCRIPTION
LinearRegressionMDE/man
LinearRegressionMDE/man/LRMDE.Rd