Side by side
Copulas.jl vs partition
Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan
Copulas.jl provides a broad copula toolkit, including modeling, fitting, diagnostics, conditioning, transforms, and visualization. Its documented limitations around discrete observations, fitting methods, performance priorities, and experimental status matter when selecting it.
Visit Copulas.jl Free plan Linux
partition offers configurable dimensionality reduction with mappings that remain easy to interpret. Its methods, plots, permutation tests, and large-feature handling make it suited to scripted R analysis rather than general desktop use.
Visit partitionThe facts
| Copulas.jl | partition | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Not published | Linux |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | lrnv.github.io | uscbiostats.github.io |
| On statistical analysis software | #77 of 106 | #73 of 106 |
Copulas.jl: what it does well
- Free plan and MIT license
- Random generation and density evaluation
- Automatic family selection with information criteria
- Dependence metrics and resampling tests
- Distributions.jl API interoperability
What to know first
- Hypothesis tests assume continuous margins
- Sklar fitting is not joint full maximum likelihood
- Implementation performance was not yet prioritized
- Project is described as experimental
partition: what it does well
- Free MIT-licensed package
- Custom partitioners supported
- Several built-in reduction methods
- Permutation testing included
- Handles large feature sets
What to know first
- Linux desktop deployment listed
- Requires R data frames or tibbles
- Performance varies by partitioning method
- Uses a default 4,000-feature cluster size
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