awesome-R
A curated list of awesome R packages, frameworks and software. (by qinwf)
mirt
Multidimensional item response theory (by philchalmers)
Our great sponsors
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.
awesome-R
Posts with mentions or reviews of awesome-R.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-13.
- Good coding groups for black women?
- Where to learn R?
-
Crantastic: What happened to it?
Won't cover newer ones, but Awesome R has a good list as does this site.
-
Setup local development environment for R-yaml
First we looked for a project to play with. Checked the r projects, then looked at the awesome-R list and found r-yaml. We thought a library dealing with YAML files will be simple to install and test.
-
WEBSITE WITH TEMPLATES
I can't really decipher what exactly do you want/mean but here you go: https://github.com/qinwf/awesome-R
- Python vs Matlab vs R
mirt
Posts with mentions or reviews of mirt.
We have used some of these posts to build our list of alternatives
and similar projects.
- Is there any resource where i can see how parameter estimation is coded
-
I have a function which scores my data as 1 or 0(right or wrong) for MCQ responses(A,B,C,D). If the answer is A , and the person has also scored A as answer then he will be scored as 1, else he gets scored as 0. However i need a slight change in this when scoring NA(data that is not available).
I am using this function to score the data:-
- Where can I learn how to use Mirt package if I am a beginner to R?
What are some alternatives?
When comparing awesome-R and mirt you can also consider the following projects:
fontawesome - Easily insert FontAwesome icons into R Markdown docs and Shiny apps
ggplot2 - An implementation of the Grammar of Graphics in R
easystats - :milky_way: The R easystats-project
r4ds - R for data science: a book
sf - Simple Features for R
rmarkdown - Dynamic Documents for R
lab02_R_intro - Vežbe 2: Uvod u R
DataScienceR - a curated list of R tutorials for Data Science, NLP and Machine Learning
viridis - Colorblind-Friendly Color Maps for R
dplyr - dplyr: A grammar of data manipulation
fastverse - An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
llr - Lisp-like-R: A clojure inspired lisp that compiles to R in R