Statistical Models with Regularization in Pure Julia
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Updated
Dec 13, 2021 - Julia
Statistical Models with Regularization in Pure Julia
A simple framework for ANOVA on various types of Julia statistical models
Analysis of linear systems using admittance models
Linear models
Conduct one-way and multi-way anova in Julia with GLM.jl
High‑performance compilation of statistical formulas to zero‑allocation evaluators with FD/AD derivative support, serving as a stable computational foundation for post-estimation analysis and simulation with formula-based linear models in Julia.
Implementation on JuMP of Distribution Expansion Planning Model proposed by Muñoz-Delgado et al. (2014).
Comprehensive high-performance tools for computing marginal effects, adjusted predictions, and categorical contrasts with delta-method standard errors for econometric analysis.
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