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7 projects in result set.
0. stringi - stringi is THE R package for correct, fast, convenient and consistent string processing in each locale
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Registered: 2012-12-31 11:09 |
1. NewmanOmics - Develop and implement extensions to the Newman studentized range statistic that can be applied to transcriptomic data
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- Topic : Bioinformatics : Statistics [Filter]
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Registered: 2017-02-15 20:58 |
2. DREAM: global adaptive MCMC - DiffeRential Evolution Adaptive Metropolis (DREAM). Efficient global MCMC even in high-dimensional spaces. Developed by J.A. Vrugt, C.J.F. ter Braak et al.
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- Topic : Bayesian Statistics : General Model Fitting [Filter]
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- Topic : Optimization : General Purpose Continuous Solvers [Filter]
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Registered: 2009-09-22 05:35 |
3. Harmony - This package is a natural language processing (NLP) library that allows users to access large language models and use them to compare datasets where variable names are in unstructured text form. The target users are often academic researchers in the social sciences, such as psychology/mental health. We are actively recruiting contributors. We have an existing Python library also.
The source code is at: https://github.com/harmonydata/harmony_r
The web front-end of the tool is at: https://harmonydata.ac.uk/
What does Harmony do?
* Psychologists and social scientists often have to match items in different questionnaires, such as "I often feel anxious" and "Feeling nervous, anxious or afraid".
* This is called harmonisation.
* Harmonisation is a time consuming and subjective process.
* Going through long PDFs of questionnaires and putting the questions into Excel is no fun.
* Enter Harmony, a tool that uses natural language processing and generative AI models to help researchers harmonise questionnaire items, even in different languages.
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Registered: 2025-02-13 10:40 |
4. Generic Asynchronous Job Queue - Implementation of a job queue that allows background computations while the calling R session remains responsive (basic threading). The package's focus is on providing an intuitive user interface.
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Registered: 2015-04-22 11:02 |
5. vcf2geno: reading VCF made easy - Efficiently Read Variant Call Format (VCF) into R
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Registered: 2012-08-22 01:29 |
6. Tabular Manifest - Configuring metadata can be quicker and more robust than coding the same repetitive code. For active development, see https://github.com/Melinae/TabularManifest.
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Registered: 2014-09-18 20:23 |
