JuliaStats Projects – Summer of Code

JuliaStats is an organization dedicated to providing high-quality packages for statistics in Julia.

Panel data analysis

Implement panel analysis models and estimators in Julia.

Difficulty. Moderate. Duration. 350 hours

Description

Panel data is an important kind of statistical data that deals with observations of multiple units across time. Common examples of panel data include economic statistics (where it is common to observe figures for several countries over time). This combination of longitudinal and cross-sectional data can be powerful for extracting causal structure from data.

Mentors. Nils Gudat, José Bayoán Santiago Calderón, Carlos Parada

Prerequisites

Your contribution

Participants will:

References

CRRao.jl

Implement consistent APIs for statistical modeling in Julia.

Difficulty. Medium. Duration. 350 hours

Description

Currently, the Julia statistics ecosystem is quite fragmented. There is value in having a consistent API for a wide variety of statistical models. The CRRao.jl package offers this design. We have built several models with this interface, but there is still work to be done here.

Mentors. Sourish Das, Ayush Patnaik,

Prerequisites

Your contribution

Participants will:

JuliaStats Improvements

General improvements to JuliaStats packages, depending on the interests of participants.

Difficulty. Easy-Hard. Duration. 175-350 hours.

Description

JuliaStats provides many of the most popular packages in Julia, including:

All of these packages are critically important to the Julia statistics community, and all could be improved.

Mentors. Mousum Dutta, Chirag Anand, Ayush Patnaik, Carlos Parada

Prerequisites

Your contribution

Participants will: