glmmrBase: Generalised Linear Mixed Models in R
Specification of generalised linear mixed models with a range of related functions and calculations. The package provides classes 'Covariance', 'MeanFunction' and 'Model', which allow for flexible specification of generalised linear mixed models, as well as functionality to produce relevant matrices, values, and analyses.
See <https://github.com/samuel-watson/glmmrBase/blob/master/README.md> for a detailed manual.
| Version: |
0.3.1 |
| Depends: |
R (≥ 3.5.0), Matrix (≥ 1.3-1) |
| Imports: |
methods, digest, Rcpp (≥ 1.0.7), R6 |
| LinkingTo: |
Rcpp (≥ 0.12.0), RcppEigen, SparseChol (≥ 0.2.1), BH, RcppParallel (≥ 5.0.1), rminqa (≥ 0.2.2) |
| Suggests: |
testthat (≥ 3.1.0) |
| Published: |
2023-04-20 |
| Author: |
Sam Watson [aut, cre] |
| Maintainer: |
Sam Watson <S.I.Watson at bham.ac.uk> |
| BugReports: |
https://github.com/samuel-watson/glmmrBase/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/samuel-watson/glmmrBase |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| Materials: |
README |
| CRAN checks: |
glmmrBase results |
Documentation:
Downloads:
Reverse dependencies:
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