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pepkit
pepr:Reading Portable Encapsulated Projects
A PEP, or Portable Encapsulated Project, is a dataset that subscribes to the PEP structure for organizing metadata. It is written using a simple YAML + CSV format, it is your one-stop solution to metadata management across data analysis environments. This package reads this standardized project configuration structure into R. Described in Sheffield et al. (2021) <doi:10.1093/gigascience/giab077>.
Maintained by Nathan Sheffield. Last updated 1 years ago.
3 stars 5.62 score 20 scripts
cran
versioning:Settings and File I/O using a Configuration YAML File
R data pipelines commonly require reading and writing data to versioned directories. Each directory might correspond to one step of a multi-step process, where that version corresponds to particular settings for that step and a chain of previous steps that each have their own versions. This package creates a configuration object that makes it easy to read and write versioned data, based on YAML configuration files loaded and saved to each versioned folder.
Maintained by Nathaniel Henry. Last updated 19 days ago.
2.70 score
bdhitt
binGroup2:Identification and Estimation using Group Testing
Methods for the group testing identification problem: 1) Operating characteristics (e.g., expected number of tests) for commonly used hierarchical and array-based algorithms, and 2) Optimal testing configurations for these same algorithms. Methods for the group testing estimation problem: 1) Estimation and inference procedures for an overall prevalence, and 2) Regression modeling for commonly used hierarchical and array-based algorithms.
Maintained by Brianna Hitt. Last updated 1 years ago.
2.48 score 3 scripts 1 dependents