ExtendedRtIrtModeling
Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.
Science Score: 44.0%
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○Scientific vocabulary similarity
Low similarity (5.8%) to scientific vocabulary
Keywords
bayesian
bayesian-statistics
gibbs-sampler
gibbs-sampling
irt
item-response-theory
julia
julia-language
polyagamma
quantile-regression
response-time
Last synced: 6 months ago
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Repository
Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.
Basic Info
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 1
- Releases: 3
Topics
bayesian
bayesian-statistics
gibbs-sampler
gibbs-sampling
irt
item-response-theory
julia
julia-language
polyagamma
quantile-regression
response-time
Created over 1 year ago
· Last pushed 6 months ago
Metadata Files
Readme
License
Code of conduct
Citation
README.html
README ExtendedRtIrtModeling
Installation
This package isn’t registered in Julia yet, so you’ll need to download it from GitHub.
using Pkg Pkg.add("https://github.com/jiewenTsai/ExtendedRtIrtModeling.jl")or
]> add "https://github.com/jiewenTsai/ExtendedRtIrtModeling.jl"Usage
using ExtendedRtIrtModeling ## creat a toy data Cond = setCond(nSubj=1000, nItem=15) truePara = setTrueParaMlIrt(Cond) Data = setDataMlIrt(Cond, truePara) ## build a model and sample it! MCMC = GibbsMlIrt(Cond, Data=Data, truePara=truePara) sample!(MCMC) ## check the parameter recovery getRmse(MCMC.truePara.b, MCMC.Post.mean.b)If you have data to analyze, you can follow the following way,
using CSV, DataFrames ## import your data Data = CSV.read("yourData.csv", DataFrame) Cond = setCond(qRa=0.85, qRt=0.85, nChain=3, nIter=3000) Data = InputData( Y=Matrix(Data[:,1:15]), T=exp.(Matrix(Data[:,16:30])), X=Matrix(Data[:,31:33]) ) ## build a model and sample it! MCMC = GibbsRtIrtQuantile(Cond, Data=Data) sample!(MCMC) MCMC.Post.mean.Σp MCMC.Post.mean.βHow to Cite
If you use ExtendedRtIrtModeling.jl in your work, please cite using the reference given in CITATION.cff.
Contributing
If you want to make contributions of any kind, please first that a look into our contributing guide directly on GitHub or the contributing page on the website.
Contributors
Owner
- Name: Jie-Wen Tsai
- Login: jiewenTsai
- Kind: user
- Location: Taiwan
- Website: https://jiewentsai.github.io/docs
- Repositories: 1
- Profile: https://github.com/jiewenTsai
Citation (CITATION.cff)
# Go to https://citation-file-format.github.io/cff-initializer-javascript/#/ to finish this
cff-version: 1.2.0
title: ExtendedRtIrtModeling.jl
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Jie-Wen Tsai
email: tsai.jiewen@gmail.com
GitHub Events
Total
- Push event: 65
- Pull request event: 1
- Create event: 268
Last Year
- Push event: 65
- Pull request event: 1
- Create event: 268
Issues and Pull Requests
Last synced: 7 months ago
All Time
- Total issues: 1
- Total pull requests: 2
- Average time to close issues: less than a minute
- Average time to close pull requests: about 21 hours
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 1.0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 2
Past Year
- Issues: 1
- Pull requests: 2
- Average time to close issues: less than a minute
- Average time to close pull requests: about 21 hours
- Issue authors: 1
- Pull request authors: 1
- Average comments per issue: 1.0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 2
Top Authors
Issue Authors
- JuliaTagBot (1)
Pull Request Authors
- dependabot[bot] (4)
Top Labels
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dependencies (4)
Packages
- Total packages: 1
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Total downloads:
- julia 1 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
juliahub.com: ExtendedRtIrtModeling
Extended Response Time Item Response Models with Polya-Gamma Sampler and Bayesian Quantile Regression.
- Documentation: https://docs.juliahub.com/General/ExtendedRtIrtModeling/stable/
- License: MIT
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Latest release: 0.1.0
published over 1 year ago
Rankings
Dependent repos count: 3.2%
Downloads: 5.5%
Average: 8.3%
Dependent packages count: 16.3%
Last synced:
6 months ago
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