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tls: Tools of Total Least Squares in Error-in-Variables Models

Functions for point and interval estimation in error-in-variables models via total least squares or generalized total least squares method. See Golub and Van Loan (1980) <doi:10.1137/0717073>, Gleser (1981) <https://www.jstor.org/stable/2240867>, Ivan Markovsky and Huffel (2007) <doi:10.1016/j.sigpro.2007.04.004> for more information.

Version: 0.1.0
Depends: R (≥ 3.2.3)
Imports: stats, utils
Published: 2018-10-06
Author: Yan Li [aut, cre], Kun Chen [aut], Jun Yan [aut]
Maintainer: Yan Li <yan.4.li at uconn.edu>
BugReports: https://github.com/LiYanStat/tls/issues
License: GPL (≥ 3)
URL: https://github.com/LiYanStat/tls
NeedsCompilation: no
CRAN checks: tls results

Documentation:

Reference manual: tls.pdf

Downloads:

Package source: tls_0.1.0.tar.gz
Windows binaries: r-devel: tls_0.1.0.zip, r-release: tls_0.1.0.zip, r-oldrel: tls_0.1.0.zip
macOS binaries: r-release (arm64): tls_0.1.0.tgz, r-oldrel (arm64): tls_0.1.0.tgz, r-release (x86_64): tls_0.1.0.tgz, r-oldrel (x86_64): tls_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.