BayesCog_Wien
Teaching materials for BayesCog at Faculty of Psychology, University of Vienna (by lei-zhang)
RTutorials
A set of tutorials for using R in various ways: for coding and statistics (by thartbm)
BayesCog_Wien | RTutorials | |
---|---|---|
2 | 1 | |
128 | 3 | |
- | - | |
0.0 | 10.0 | |
almost 3 years ago | over 1 year ago | |
R | HTML | |
GNU General Public License v3.0 or later | 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.
BayesCog_Wien
Posts with mentions or reviews of BayesCog_Wien.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-10.
RTutorials
Posts with mentions or reviews of RTutorials.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-24.
-
Resource recommendations for statistics learning (especially software and interpretation of data)
Bernard Hart Stats Tutorials in Rmarkdown https://github.com/thartbm/RTutorials
What are some alternatives?
When comparing BayesCog_Wien and RTutorials you can also consider the following projects:
knitr_case_studies - Inference case studies in knitr
jaspLearnBayes - A module to help learn bayesian statistics