Build and manage real-life data science projects with ease.
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Updated
Jul 3, 2021 - Python
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Build and manage real-life data science projects with ease.
An interactive graphing library for R
Machine Learning in R
An R-focused pipeline toolkit for reproducibility and high-performance computing
A frictionless, pipeable approach to dealing with summary statistics
RStan, the R interface to Stan
#108 could have been prevented if knit_print tests captured this breaking change.
Adding test examples checking for knit_print output should provide reasonably detailed tests for brief_entries(), detailed_entries() and bibliography_entries() outputs.
Paginate the HTML Output of R Markdown with CSS for Print
Use RMarkdown to generate PDF Conference Posters via HTML
Seamless R and C++ Integration
Bayesian analysis + tidy data + geoms (R package)
Tidy data structures, summaries, and visualisations for missing data
improve the vignette
Presentation-Ready Data Summary and Analytic Result Tables
R Interface to the jQuery Plug-in DataTables
Function-oriented Make-like declarative workflows for R
Bindings for Tabula PDF Table Extractor Library
Automate Data Exploration and Treatment
Preliminary Exploratory Visualisation of Data
Magic, madness, heaven, sin
Assertive programming for R analysis pipelines
Text Extraction, Rendering and Converting of PDF Documents
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Hi,
is there any plan to implement the Generalized Pareto Distribution in
brms(paul-buerkner/brms#110 (comment))? I am playing around with an extreme values analysis and it looks like extremes collected as Peak Over Threshold are better represented by the GPD instead of the generalized extreme value distribution, which I am so happy to see already in `b