mixed-models-with-R
Covers the basics of mixed models, mostly using @lme4 (by m-clark)
bruceR
📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses. (by psychbruce)
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mixed-models-with-R | bruceR | |
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1 | 1 | |
120 | 152 | |
- | - | |
5.0 | 4.9 | |
about 2 years ago | 7 months ago | |
R | R | |
- | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mixed-models-with-R
Posts with mentions or reviews of mixed-models-with-R.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Understanding fixed versus random effect
[2]: https://github.com/m-clark/mixed-models-with-R/blob/master/data.zip
bruceR
Posts with mentions or reviews of bruceR.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing mixed-models-with-R and bruceR you can also consider the following projects:
rmarkdown - Dynamic Documents for R
expotools - Useful methods for Exposome research.
collapse - Advanced and Fast Data Transformation in R
targets-minimal - A minimal example data analysis project with the targets R package
priceR - Economics and Pricing in R
worldfootballR - A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob
lmForc - R package for evaluating linear forecasting models.
groundhog - Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages
melt - Multiple empirical likelihood tests