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.

AuthorWei Jiang and Matthew S. Mayo
Date of publication2016-06-14 08:29:46
MaintainerWei Jiang <wjiang@kumc.edu>
LicenseGPL (>= 2)
Version1.1

View on CRAN

Files

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.