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Method to estimate the effect of the trend in predictor variables on the observed trend of the response variable using mixed models with temporal autocorrelation. See Fernández-Martínez et al. (2017 and 2019) <doi:10.1038/s41598-017-08755-8> <doi:10.1038/s41558-018-0367-7>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | nlme |
| Published: | 2019-03-19 |
| DOI: | 10.32614/CRAN.package.TempCont |
| Author: | Marcos Fernández-Martínez, Joan Maspons |
| Maintainer: | Marcos Fernández-Martínez <marcos.fernandez-martinez at uantwerpen.be> |
| BugReports: | https://github.com/burriach/tempcont/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/burriach/tempcont |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | TempCont results |
| Reference manual: | TempCont.pdf |
| Package source: | TempCont_0.1.0.tar.gz |
| Windows binaries: | r-devel: TempCont_0.1.0.zip, r-release: TempCont_0.1.0.zip, r-oldrel: TempCont_0.1.0.zip |
| macOS binaries: | r-release (arm64): TempCont_0.1.0.tgz, r-oldrel (arm64): TempCont_0.1.0.tgz, r-release (x86_64): TempCont_0.1.0.tgz, r-oldrel (x86_64): TempCont_0.1.0.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.