TEEReg: Trimmed Elemental Estimation for Linear Models

For fitting multiple linear regressions, the ordinary least squares approach is sensitive to outliers and/or violations of model assumptions. The trimmed elemental estimators are more robust to such situations. This package contains functions for computing the trimmed elemental estimates, as well as for creating the bias-corrected and accelerated bootstrap confidence intervals based on elemental regressions.

Author
Wei Jiang and Matthew S. Mayo
Date of publication
2016-06-14 08:29:46
Maintainer
Wei Jiang <wjiang@kumc.edu>
License
GPL (>= 2)
Version
1.1

View on CRAN

Man pages

TEE
Compute the trimmed elemental estimates.
TEE.BCa
Compute the bias-corrected accelerated bootstrap confidence...
TEEReg-package
Trimmed Elemental Estimation for Linear Models.
telephone
An example dataset for TEEReg.

Files in this package

TEEReg
TEEReg/NAMESPACE
TEEReg/data
TEEReg/data/telephone.rda
TEEReg/R
TEEReg/R/TEE.R
TEEReg/R/TEE.BCa.R
TEEReg/MD5
TEEReg/DESCRIPTION
TEEReg/man
TEEReg/man/telephone.Rd
TEEReg/man/TEEReg-package.Rd
TEEReg/man/TEE.BCa.Rd
TEEReg/man/TEE.Rd