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Estimate generalized additive mixed models via a version of function gamm() from 'mgcv', using 'lme4' for estimation.
| Version: | 0.2-6 |
| Depends: | R (≥ 2.9.0), methods, Matrix, lme4 (≥ 1.0), mgcv (≥ 1.7-23) |
| Published: | 2020-04-03 |
| Author: | Simon Wood, Fabian Scheipl |
| Maintainer: | Simon Wood <simon.wood at r-project.org> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| In views: | MixedModels |
| CRAN checks: | gamm4 results |
| Reference manual: | gamm4.pdf |
| Package source: | gamm4_0.2-6.tar.gz |
| Windows binaries: | r-devel: gamm4_0.2-6.zip, r-release: gamm4_0.2-6.zip, r-oldrel: gamm4_0.2-6.zip |
| macOS binaries: | r-release (arm64): gamm4_0.2-6.tgz, r-oldrel (arm64): gamm4_0.2-6.tgz, r-release (x86_64): gamm4_0.2-6.tgz, r-oldrel (x86_64): gamm4_0.2-6.tgz |
| Old sources: | gamm4 archive |
| Reverse depends: | vagam |
| Reverse imports: | fPASS, lwqs, mgcViz, MJMbamlss, projpred, refund, registr, voxel |
| Reverse suggests: | bayestestR, buildmer, cAIC4, datawizard, galamm, ggeffects, gratia, insight, lme4, modelbased, MuMIn, performance, rstanarm, tramME |
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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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