robustlmm
This is an R-package for fitting linear mixed effects models in a robust manner. The method is based on the robustification of the scoring equations and an application of the Design Adaptive Scale approach.
Science Score: 36.0%
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Repository
This is an R-package for fitting linear mixed effects models in a robust manner. The method is based on the robustification of the scoring equations and an application of the Design Adaptive Scale approach.
Statistics
- Stars: 29
- Watchers: 2
- Forks: 9
- Open Issues: 2
- Releases: 0
Metadata Files
README.md
Robust linear mixed effects models
The R-package robustlmm provides functions for estimating linear mixed
effects models in a robust way.
The main workhorse is the function rlmer; it is implemented as direct
robust analogue of the popular lmer function of the lme4 package. The
two functions have similar abilities and limitations. A wide range of data
structures can be modeled: mixed effects models with hierarchical as well
as complete or partially crossed random effects structures are
possible. While the lmer function is optimized to handle large datasets
efficiently, the computations employed in the rlmer function are more
complex and for this reason also more expensive to compute. The two
functions have the same limitations in the support of different random
effect and residual error covariance structures. Both support only diagonal
and unstructured random effect covariance structures.
The robustlmm package implements most of the analysis tool chain as is
customary in R. The usual functions such as summary, coef, resid,
etc. are provided as long as they are applicable for this type of models
(see rlmerMod-class for a full list). The functions are designed to be as
similar as possible to the ones in the lme4 package to make switching
between the two packages easy.
Installation
This R-package is available on CRAN. Install it directly in R with the command
install.packages("robustlmm")
This package requires lme4 version at least 1.1 and other
packages. Make sure to install them as well.
You can also install the package directly from github:
install.packages("devtools") ## if not already installed
require(devtools)
install_github("kollerma/robustlmm")
require(robustlmm)
Owner
- Name: Manuel Koller
- Login: kollerma
- Kind: user
- Repositories: 3
- Profile: https://github.com/kollerma
GitHub Events
Total
- Issues event: 2
- Watch event: 1
- Issue comment event: 3
- Push event: 4
Last Year
- Issues event: 2
- Watch event: 1
- Issue comment event: 3
- Push event: 4
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Manuel Koller | k****l@g****m | 73 |
| Manuel Koller | k****r@s****h | 9 |
| Martin Maechler | m****r@r****g | 5 |
| Rich FitzJohn | r****n@i****k | 1 |
| Pablo Bernabeu | p****u@g****m | 1 |
| unknown | m****r@B****h | 1 |
| Dirk Eddelbuettel | e****d@d****g | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 26
- Total pull requests: 5
- Average time to close issues: about 2 months
- Average time to close pull requests: 7 days
- Total issue authors: 24
- Total pull request authors: 4
- Average comments per issue: 2.46
- Average comments per pull request: 0.8
- Merged pull requests: 5
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 2
- Pull requests: 0
- Average time to close issues: 15 days
- Average time to close pull requests: N/A
- Issue authors: 2
- Pull request authors: 0
- Average comments per issue: 1.5
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- Hamedhm (2)
- sneupane2 (2)
- brentp (1)
- thomasp85 (1)
- AST87 (1)
- BERENZ (1)
- jhaltiga (1)
- katPa90 (1)
- Satoshi-Young (1)
- abdullahicen (1)
- brian-lau (1)
- jaganmn (1)
- letitburn00 (1)
- YuquanW (1)
- Silverneo (1)
Pull Request Authors
- mmaechler (2)
- eddelbuettel (1)
- pablobernabeu (1)
- richfitz (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- cran 6,286 last-month
- Total docker downloads: 21,835
- Total dependent packages: 5
- Total dependent repositories: 11
- Total versions: 39
- Total maintainers: 1
cran.r-project.org: robustlmm
Robust Linear Mixed Effects Models
- Homepage: https://github.com/kollerma/robustlmm
- Documentation: http://cran.r-project.org/web/packages/robustlmm/robustlmm.pdf
- License: GPL-2
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Latest release: 3.3-3
published about 1 year ago
Rankings
Maintainers (1)
Dependencies
- Matrix >= 1.0 depends
- R >= 3.5.0 depends
- lme4 >= 1.1 depends
- Rcpp >= 0.12.2 imports
- fastGHQuad * imports
- ggplot2 * imports
- lattice * imports
- methods * imports
- nlme * imports
- parallel * imports
- rlang * imports
- robustbase >= 0.93 imports
- utils * imports
- xtable * imports
- MASS * suggests
- MatrixModels * suggests
- RColorBrewer * suggests
- dplyr * suggests
- emmeans >= 1.4 suggests
- estimability * suggests
- fs * suggests
- ggh4x * suggests
- heavy * suggests
- lemon * suggests
- lqmm * suggests
- microbenchmark * suggests
- reshape2 * suggests
- rlme * suggests
- robustvarComp * suggests
- skewt * suggests
- actions/checkout v3 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
- r-lib/actions/setup-tinytex v2 composite