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Implements the generalized Gauss Markov regression, this is useful when both predictor and response have uncertainty attached to them and also when covariance within the predictor, within the response and between the predictor and the response is present. Base on the results published in guide ISO/TS 28037 (2010) <https://www.iso.org/standard/44473.html>.
| Version: | 0.1.1 |
| Depends: | stats (≥ 3.4.0), MASS (≥ 7.3), R (≥ 3.4.0) |
| Published: | 2019-09-30 |
| Author: | Hugo Gasca-Aragon |
| Maintainer: | Hugo Gasca-Aragon <hugo_gasca_aragon at hotmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | ggmr results |
| Reference manual: | ggmr.pdf |
| Package source: | ggmr_0.1.1.tar.gz |
| Windows binaries: | r-devel: ggmr_0.1.1.zip, r-release: ggmr_0.1.1.zip, r-oldrel: ggmr_0.1.1.zip |
| macOS binaries: | r-release (arm64): ggmr_0.1.1.tgz, r-oldrel (arm64): ggmr_0.1.1.tgz, r-release (x86_64): ggmr_0.1.1.tgz, r-oldrel (x86_64): ggmr_0.1.1.tgz |
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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.
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